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Last week saw the release of a big new report from the Futurum Group around cybersecurity. The research says that the market is going to grow by 11.6% per year for the rest of the decade. By then it should be worth almost $300 billion. Fernando Montenegro states that cybersecurity is a cornerstone of the boardroom and key part of the enterprise risk management strategy. Additionally there are some great suggestions about which areas of security need to be addressed by organizations in the coming years. This and more on the Tech Field Day News Rundown. Time Stamps: 0:00 - Cold Open0:37 - Welcome to the Tech Field News Rundown1:25 - Magic Kill Switch law for AI chips5:13 - Broadcom wants those patches back9:20 - Nutanix adds more NVIDIA to enterprise AI 12:50 - Cisco Unveils Quantum Networking Advances17:10 - Economic uncertainty is taking IT jobs20:47 - sudo Replace This Command24:58 - Futurum Group Foresees Cybersecurity Futures32:04 - Upcoming Tech Field Day Events33:08 - Thanks for WatchingHosts: Tom Hollingsworth: https://www.linkedin.com/in/networkingnerd/Stephen Foskett: https://www.linkedin.com/in/sfoskett/Alastair Cooke: https://www.linkedin.com/in/alastaircooke/Follow Tech Field Day: Website: https://techfieldday.com/ LinkedIn: https://www.linkedin.com/company/tech-field-day/X/Twitter: https://x.com/TechFieldDay Bluesky: https://bsky.app/profile/techfieldday.com
No matter how we define the edge, the special requirements for use in harsh environments drive unique product decisions. This episode of Utilizing Tech, brought to you by Solidigm, features Alistair Bradbrook, founder of Antillion, discussing edge servers with Jeniece Wnorowski and Stephen Foskett. It pays to start with the intended outcome, defining the solution based on customer needs rather than with the technology at hand. This is especially true at the edge, where unique requirements for mobility, power, ruggedness, and manageability drive novel configurations. When it comes to defense applications, AI is driving greater collection of data at the edge, yet connectivity is often inconsistent, driving increasing processing power. Yet the current CPUs can often handle inferencing in edge use cases, especially when the rest of the server, including storage, can handle high data transfer rates. Edge computers have always needed more storage capacity, and the latest SSDs can bring incredible amounts in a small form factor. Antillion is also a leader in conduction cooling, bringing liquid and immersion cooled devices to market for demanding applications. They are also working to bring disaggregated servers to market using CXL technology, a topic covered in detail on season 4 of this podcast. The edge is all about constraints, and this limitation drives incredible innovation.Guest:Alistair Bradbrook is the Founder and COO of Antilion. You can connect with Alistair on LinkedIn and learn more about Anitllion on their website. Hosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesJeniece Wnorowski, Head of Influencer Marketing at Solidigm Scott Shadley, Leadership Narrative Director and Evangelist at SolidigmFollow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
The demand for AI services is driving more growth in public cloud platforms, Amazon, Microsoft, and Google have all continued investment in the public cloud platforms to keep up with generative AI. Andy Jassy highlighted triple-digit growth in AI revenues, Microsoft has committed to 40% more capacity in Europe, and Google is investing $17 Billion in cloud infrastructure.Time Stamps: 0:00 - Welcome to the Tech Field Day News Rundown1:13 - Amazon Internet from Space in 20263:07 - Palo Alto Networks buys Protect AI5:44 - Forescout and NVIDIA Team Up for Operational Technology8:29 - Cloud Costs are Higher than Expected, Value to the Business is Even Higher11:24 - Chatbots aren't Giving Good Health Advice14:18 - Huawei AI chips to take on NVIDIA and beat US controls17:13 - AI Growth Driving Cloud Provider Investment21:27 - The Weeks Ahead22:21 - Thanks for WatchingHosts: Tom Hollingsworth: https://www.linkedin.com/in/networkingnerd/Stephen Foskett: https://www.linkedin.com/in/sfoskett/Alastair Cooke: https://www.linkedin.com/in/alastaircooke/Follow Tech Field Day: Website: https://techfieldday.com/ LinkedIn: https://www.linkedin.com/company/tech-field-day/X/Twitter: https://x.com/TechFieldDay Bluesky: https://bsky.app/profile/techfieldday.com
Much of what we take for granted in the IT industry was seeded from HPC and the national labs. This episode of Utilizing Tech features Gary Grider, HPC Division Leader at Los Alamos National Labs, discussing leading-edge technology with Scott Shadley of Solidigm and Stephen Foskett. The Efficient Mission Centric Computing Consortium (EMC3) is working to bring technologies like sparse memory access and computational storage to life. These technologies are designed for today's massive scale data sets, but Moore's Law suggests that this scale might be coming soon to AI applications and beyond. The goal of the national labs is to work 5-10 years ahead of the market to lay the foundations for what will be needed in the future. Specific products like InfiniBand, Lustre, pNFS, and more were driven forward by these labs as well. Some promising future directions include 3D chip scaling, analog and biological computing, and quantum chips.Guest: Gary Grider, HPC Division Leader at Los Alamos National LabsHosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesJeniece Wnorowski, Head of Influencer Marketing at Solidigm Scott Shadley, Leadership Narrative Director and Evangelist at SolidigmFollow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
Intel is still looking to smooth out their operations under new CEO Lip-Bu Tan. The announcement came last week that Intel is going to be cutting more positions. Initial reports rumored that it could be as much 20,000 employees but CFO David Zinsner refuted that number last Friday. Instead, each department will assess their structure and decide whether to cut positions or offer voluntary packages. Zinsner cautioned that not all buyout offers would be accepted. Additionally, early retirements would not be offered, as previously these had led to other issues in the long term. This and more on the Tech Field Day News Rundown. Time Stamps: 0:00 - Welcome to the Tech Field Day News Rundown1:36 - Native Sidecars Land in Kubernetes 1.335:39 - Q-CTRL Reveals Quantum Navigation System10:24 - TSMC Launches A14, Targets AI Speed14:06 - Factory Settings added to Commvault's Cleanroom Recovery17:46 - Safeguarding NATS and Open Source23:13 - HPE Expands Cybersecurity Across Platforms26:54 - Another Round of Layoffs for Intel as they Streamline33:44 - The Weeks Ahead36:17 - Thanks for WatchingHosts: Tom Hollingsworth: https://www.linkedin.com/in/networkingnerd/Stephen Foskett: https://www.linkedin.com/in/sfoskett/Alastair Cooke: https://www.linkedin.com/in/alastaircooke/Follow Tech Field Day: Website: https://techfieldday.com/ LinkedIn: https://www.linkedin.com/company/tech-field-day/X/Twitter: https://x.com/TechFieldDay Bluesky: https://bsky.app/profile/techfieldday.com
AI applications have unique requirements for server infrastructure, so a new platform is required. This episode of Utilizing Tech features Mark Klarzynski of PEAK:AIO discussing their AI-specific software-defined storage platform with Jeniece Wnorowski of Solidigm and Stephen Foskett. With a background in enterprise storage, the PEAK:AIO team evaluated the needs of AI users with a goal of delivering a simple and integrated solution that could scale to support the most demanding applications. The company began working in healthcare to support distributed applications before finding similar use cases in research and manufacturing. Rather than focusing on advancing technology and then finding a use case, Mark advocates focusing on the needs and possibilities and bringing technology to solve these problems. Edge servers are constrained in terms of power, cooling, and cost, and this requires new thinking, as well as new software and hardware approaches, to continue to progress.Guest: Mark Klarzynski, Cofounder and Chief Strategy Officer at PEAK:AIOHosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesJeniece Wnorowski, Head of Influencer Marketing at Solidigm Scott Shadley, Leadership Narrative Director and Evangelist at SolidigmFollow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
Chris Krebs is a well-known figure in the cybersecurity space. As the former head of the Cybersecurity and Infrastructure Security Agency, Krebs was responsible for directing security for the US federal government starting 2018. Krebs was fired from CISA in 2020 by President Donald Trump for his stance on the 2020 election. Last week, President Trump stripped Krebs of his security clearances for this 4-year-old issue. Krebs then announced that he would be stepping down from his role at security company SentinelOne in order to prevent the company from being harmed by what appears to be a personal issue between the president of the United States and a private citizen that dared to disagree with him. Time Stamps: 0:00 - Welcome to the Rundown0:55 - Zoom Comes to a Halt for 90 Minutes2:47 - VMware Brings Back Free ESXi6:00 - AI Can Write Code, But Struggles With Debugging8:05 - Hammerspace Gains Investors for AI Data Performance Standard11:32 - Google Ad Tech Deemed Monopolized by Federal Judge13:47 - HPE Stake Rises with Elliott Engagement17:45 - Chris Krebs Resigns from SentinelOne24:25 - The Weeks Ahead26:16 - Thanks for Watching Guest Host: Romeo Gardner, President and CEO of NehlosLinkedIn: https://www.linkedin.com/in/romeog/Hosts: Tom Hollingsworth: https://www.linkedin.com/in/networkingnerd/Stephen Foskett: https://www.linkedin.com/in/sfoskett/Alastair Cooke: https://www.linkedin.com/in/alastaircooke/Follow Tech Field Day: Website: https://techfieldday.com/ LinkedIn: https://www.linkedin.com/company/tech-field-day/X/Twitter: https://x.com/TechFieldDay Bluesky: https://bsky.app/profile/techfieldday.com
Much of the conversation on AI is focused on power consumption and chatbots, but there are so many other positive applications for the technology. This episode of Utilizing Tech, sponsored by Solidigm, welcomes Keith Bradley, VP of IT at Nature Fresh Farms, discussing with Stephen Foskett and Jeniece Wnorowski how they use AI to improve crop yields and plant performance. Farming has traditionally evaluated crop performance on a large-scale basis, but AI enables Nature Fresh Farms to much more carefully tailor care to the needs of the plants. Once a tomato or pepper has been grown, Nature Fresh can use AI to classify, package, and store produce for sale. This requires a great deal of storage for active plants, and Nature Fresh Farms has standardized on solid state storage because of the incredible combination of performance and reliability it brings. It wouldn't be possible to process this much data at the edge without advanced SSDs, processors, and servers.Guest: Keith Bradley, Vice President of Information Technology at Nature Fresh FarmsHosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesJeniece Wnorowski, Head of Influencer Marketing at Solidigm Scott Shadley, Leadership Narrative Director and Evangelist at SolidigmFollow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
At Intel Vision 2025, CEO Lip-Bu Tan emphasized a customer-centric strategy, focusing on advancements in AI PCs, Gaudi 3 accelerators, and the 18A process node. He introduced the concept of “Physical AI,” highlighting Intel's commitment to integrating AI into hardware solutions across various sectors. Tan's leadership aims to position Intel at the forefront of AI-driven innovation by enhancing its product portfolio and foundry capabilities. This and more on the Tech Field Day News Rundown. Time Stamps: 0:00 - Cold Open0:45 - Welcome to the Tech Field Day News Rundown2:01 - Trump Shifts Stance on NVIDIA Chip Ban7:29 - Remember Windows 11 Recall? It's Back!11:31 - Solo.io Adds MCP Gateway to API Platform14:43 - Dell Launches PowerEdge Servers with Intel Xeon 6 Chips20:27 - Google Cloud Paving the Way for AI Transformation from Google Cloud Next26:32 - Intel to Sell off 51% of Altera Chip Business to Silver Lake31:08 - Embracing Physical AI at Intel Vision 202540:50 - The Weeks Ahead42:54 - Thanks for WatchingFollow our hosts Tom Hollingsworth, Alastair Cooke, and Stephen Foskett. Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. #TFDRundown, #cybersecurity, #AI, @TechFieldDay, @NetworkingNerd, @SFoskett, @Intel, @IntelBusiness, @Google, @Broadcom, @VMware, @Checkpoint, @TechstrongIT,
As the use of AI spreads outside the cloud and datacenter, data management and protection has never been more important. This episode of Utilizing Tech, sponsored by Solidigm, features Rick Vanover of Veeam discussing the importance of data protection with hosts Stephen Foskett and Scott Shadley. Data protection for backup and security is familiar in the datacenter but is not always considered at the edge. But as AI and sensors push data to the edge, we have to consider how to protect and manage it. Edge AI systems combine elements of endpoint, datacenter, and cloud technologies and often have limited or intermittent connectivity, creating a differentiated platform that challenges data protection software. Mixing these capabilities to build a useful platform is the key challenge for data protection at the edge. Data protection at the edge is different, with continuity and recovery from outages and attacks more important than long-term preservation of data, and IT pros are beginning to adjust their perspectives on the requirements for these systems as well.Guest:Rick Vanover, Vice President of Product Strategy at VeeamHosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesScott Shadley, Leadership Narrative Director and Evangelist at SolidigmFollow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
Half a century is a long time for an IT business, and Microsoft is justified in making a lot of noise to celebrate its fiftieth anniversary. The celebration brought together three Microsoft CEOs: Gates, Balmer, and Nadella. Microsoft CoPilot isn't quite as old as the company, but it was still at the center of the celebrations. Many Microsoft products have come and gone over fifty years. Is CoPilot going to be one of the keepers? This and more on the Tech Field Day News Rundown. Time Stamps: 0:00 - Welcome to the Rundown1:20 - NVIDIA AI Servers Immune to US Tariffs4:14 - Ivanti Hardware Hacked by Chinese Group7:42 - Oracle Cloud Admits Breach12:07 - Juniper Networks and Palo Alto Products are Being Probed15:55 - IBM launches the AI Mainframe20:05 - HPE Announces Aruba Central VPC Options24:32 - Microsoft Turns Fifty33:09 - The Weeks Ahead35:42 - Thanks for WatchingFollow our hosts Tom Hollingsworth, Alastair Cooke, and Stephen Foskett. Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. #TFDRundown, #Cybersecurity, #AI, #CoPilot, #Mainframe, @Microsoft, @NVIDIA, @Ivanti, @Oracle, @OracleCloud, @JuniperNetworks, @PaloAltoNtwrks, @IBM, @HPE, @NetworkingNerd, @DemitasseNZ, @TechFieldDay, @TheFuturumGroup,
Successful edge infrastructure must be incredibly reliable and adaptable, especially in the AI age. This episode of Utilizing Tech focuses on the ultra-converged infrastructure offering with George Crump of Verge IO joining Jeniece Wnorowski and Stephen Foskett. Edge environments often have a diversity of hardware, especially as nodes are upgraded and replaced, and this can pose serious issues when building reliable infrastructure. The ultra-converged infrastructure concept would allow nearly any hardware to be integrated into a unified platform with simple management and scalability. As AI applications are deployed at the edge, organizations will need this level of integration to ensure they are reliable and secure. As more data is collected, more storage is needed at the edge; this makes it even more important to have advanced storage management for data protection and resilience.This season of Utilizing Tech is presented by Solidigm. For more information on Solidigm, head to their website and learn more about their AI efforts through the dedicated site section. Follow Solidigm on X/Twitter and LinkedIn.Guest: Guest: George Crump, Chief Marketing Officer at Verge.ioHosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesJeniece Wnorowski, Head of Influencer Marketing at Solidigm Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
During the keynote for Intel VIsion 2025, new CEO Lip-Bu Tan told the attendees about his vision for the return of Intel. He said that intel needs to attract engineering talent, fix the balance sheet issues, and look at manufacturing processes. One of the biggest ways to take care of those last two that was proposed was Intel spinning off non-core business units. He also asked customers to be "brutally honest" with the company going forward. He also reiterated his focus in going to be on engineering talent, either by hiring new engineers or encouraging former Intel employees to return. This and more on the Tech Field Day News Rundown. Time Stamps: 0:00 - Welcome to the Tech Field Day Rundown1:25 - Techstrong.IT Launches7:33 - Check Point Breached10:39 - Broadcom Raises Minimum VMware Core Count15:22 - Google Suggestions Change TLS Certificates19:48 - CoreWeave IPO Cools Down26:43 - Broadcom Debuts Networking Chips for AI Workloads31:06 - Lip-Bu Tan Lays Out Intel Recovery PlansFollow our hosts Tom Hollingsworth, Alastair Cooke, and Stephen Foskett. Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. #TFDRundown, #cybersecurity, #AI, @TechFieldDay, @NetworkingNerd, @SFoskett, @Intel, @IntelBusiness, @Google, @Broadcom, @VMware, @Checkpoint, @TechstrongIT,
Modern AI servers are loaded with GPUs, but spend too much time waiting for data. This episode of Utilizing Tech, focused on AI at the Edge with Solidigm, features Kelley Osburn of Graid Technology discussing the latest in data protection and acceleration with Scott Shadley and Stephen Foskett. As more businesses invest in GPUs to train and deploy AI models, they are discovering how difficult it is to keep these expensive compute clusters fed. GPUs are idled when data retrieval is too slow, and failures or errors could prove catastrophic. Graid not only protects data but also accelerates access, allowing users to achieve the full potential of their AI server investment.Guest: Kelley Osburn, Senior Director of OEM and Channel Business Development at Graid TechnologyHosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesScott Shadley, Leadership Narrative Director and Evangelist at SolidigmFollow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
For shownotes, head to the episode website postThis week has been a big one for messaging privacy. The news broke on Monday that the Editor-in-Chief for The Atlantic magazine was accidentally added to a Signal group where members of the US government were talking about highly classified military actions. The report kicked off a firestorm of Congressional hearings about the nature of data sharing and privacy for not only government officials but members of the defense and intelligence community. This has also raised questions about the way that those same officials will often circumvent policy to facilitate communications. While the nature of the group and their discussion topic is highly political in nature let's focus on the communications aspect. Why did they use Signal? How can we be sure it's safe? And what does this mean for government agencies that still want to create backdoors into secure protocols? This and more on the Tech Field Day News Rundown. Time Stamps: 1:13 - Employers target engineers with LLM skills4:09 - Google Acquires Wiz for $32 Billion after Previous Offer Falls Through8:33 - AI Applications are putting cloud workloads at risk12:09 - SoftBank to Acquire Ampere16:47 - Cloud FinOps is driving application repatriation23:27 - Dynamo is the NVIDIA operating system for your AI Factory 27:16 - Just How Secure Is Signal?Follow our hosts Tom Hollingsworth, Alastair Cooke, and Stephen Foskett. Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. #Rundown, #cybersecurity, #AI, @TechFieldDay, @NetworkingNerd, @DemitasseNZ, @NVIDIA, @Softbank, @Google, @AmpereComputing, @Wiz_io,
IT architecture is evolving rapidly as AI moves to the edge. This season on Utilizing Tech, Stephen Foskett and co-hosts Scott Shadley and Jeniece Wnorowski of Solidigm will explore how next-generation AI infrastructure is revolutionizing industries from healthcare to high-performance computing. With insights from leading companies Verge IO, Graid Technology, and WEKA as well as practitioners like Nature Fresh Farms and Los Alamos Nation Labs, we will show how the latest advancements in storage, data protection, and virtualization that are enabling AI to thrive beyond traditional data centers. Join us every Monday as we bring you expert discussions on the future of edge AI.This season of Utilizing Tech is presented by Solidigm. For more information on Solidigm, head to their website and learn more about their AI efforts through the dedicated site section. Follow Solidigm on X/Twitter and LinkedIn.Hosts: Stephen Foskett, President of the Tech Field Day Business Unit and Organizer of the Tech Field Day Event SeriesJeniece Wnorowski, Head of Influencer Marketing at Solidigm Scott Shadley, Leadership Narrative Director and Evangelist at SolidigmFollow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. Visit the Tech Field Day website for more information on upcoming events. For more episodes of Utilizing Tech, head to the dedicated website and follow the show on X/Twitter, on Bluesky, and on Mastodon.
Visit Episode Post for Show NotesNVIDIA unveiled new AI-focused chips at its GTC conference, including the Blackwell Ultra series launching this year and the next-gen Vera Rubin GPUs set for 2026. CEO Jensen Huang emphasized the company's shift to an annual release cycle, a departure from its previous biennial schedule. This move reflects NVIDIA's response to the growing AI market and increasing competition. This and more on the Rundown. Episode Time Stamps: 0:00 - Welcome to the Rundown2:29 - Taara Spun Out from Google's Parent Company Alphabet6:41 - Intel Names Lip-Bu Tan as New CEO12:38 - DevOps Gets Empowered by Semaphore Going Open Source16:38 - Microsoft's New Quantum Chip Greeted with Major Skepticism22:04 - Solo.io Launches Kagent for Agentic AI-Driven Cloud Ops25:37 - Amazon, Google, and Meta Nuclear Datacenters by 205029:38 - NVIDIA Reveals Rubin AI and Blackwell Ultra40:58 - The Weeks Ahead44:02 - Thanks for WatchingFollow our hosts Tom Hollingsworth, Alastair Cooke, and Stephen Foskett. Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon. #Rundown, #NVIDIAGTC, #AI, @SFoskett, @DemitasseNZ, @TechFieldDay, @TheFuturumGroup, @TechstrongTV, @Google, @Intel, @IntelBusiness, @NVIDIA, @AWSCloud, @GoogleCloud, @Meta, @Microsoft,
Visit Episode Post for Show NotesWe've spoken at length about the CHIPS Act for the past year or so and you know that we've been big proponents of bringing semiconductor manufacturing back to the US. The latest news from the federal governement isn't so rosy though. According to reports, the current administration is trying to find ways to prevent the funding for the act from being disbursed. Options floated include firing the staff at NIST responsible for sending out the money as well as clawing back the funding for "non-performance" which is the only way for the money to be returned to the government. The news comes as the administration is contemplating tariffs on TSMC even after the announcement of $100 billion in US funding.Time Stamps: 0:00 - Welcome to the Rundown3:26 - VAST Data Business Update9:03 - X Knocked Offline by Dark Storm DDOS13:16 - ASML Opening Chinese Facility18:18 - Druva Powering Enhanced Azure Data Security21:55 - Cerebras Opening New AI Accelerator Datacenters28:20 - Is The CHIPS Act Crushed?41:17 - The Weeks Ahead46:15 - Thanks for WatchingHosts: Tom Hollingsworth: https://www.linkedin.com/in/networkingnerd/Stephen Foskett: https://www.linkedin.com/in/sfoskett/Alastair Cooke: https://www.linkedin.com/in/alastaircooke/Follow Tech Field Day: Website: https://techfieldday.com/ LinkedIn: https://www.linkedin.com/company/tech-field-day/X/Twitter: https://x.com/TechFieldDay Bluesky: https://bsky.app/profile/techfieldday.com #Rundown, #CHIPSAct, #NIST, @VAST_Data, @X, @ASML, @DruvaInc, @CerabrasSystems, @TechFieldDay, @NetworkingNerd, @SFoskett, @TechFieldDayPod, @FuturumGroup, @TechstrongTV,
On this episode of DevOps Dialogues: Insights & Innovations, I am joined by Alan Shimel, CEO and President of TechStrong Group, and Stephen Foskett, President of Tech Field Day, for a discussion on impacts of how CIOs are managing the cost of DevOps. Our conversation covers: Past, present, and future applications 24% of organizations have a desire to release code on an hourly basis, but yet, only 8% are able to do so. Re-internalization of IT and managing the cost
As practical applications of AI are rolled out, they are increasingly being deployed on-premises at scale. We are wrapping up this season of Utilizing Tech with Solidigm focused on AI Data Infrastructure by discussing practical deployment considerations with Ariel Pisetzky, VP of Information Technology and Cyber at Taboola in a discussion with Jeniece Wnorowski and Stephen Foskett. Companies like Taboola are built on data and have been deploying AI-driven applications for years. Generative AI brings new capabilities but is part of a spectrum of solutions that leverage data to produce results for customers. As applications mature, many companies are looking to bring them back on-premises, and this trend will likely accelerate given the cost of AI infrastructure as-a-service offerings. Owned infrastructure can also deliver beyond expected lifespans, representing a potential windfall for businesses that can continue to use deprerciated hardware. This is especially true of large flash drives, which have proven much more reliable than initially predicted. Although it is tempting to buy the biggest, fastest infrastructure to extend the lifespan of equipment, Pisetzky recommends focusing on equipment that is flexible and can be re-purposed in other ways in the future. Server storage is unique in that it is easy to upgrade and replace it in place, even hot-swapping drives, and large lives have a very long lifespan. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: https://www.linkedin.com/in/jeniecewnorowski/ Guest: Ariel Pisetzky, VP of Information Technology and Cyber, Taboola: https://www.linkedin.com/in/ariel-pisetzky/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
Modern AI infrastructure has exposed the importance of reliability and predictability of storage in addition to performance. This episode of Utilizing Tech, presented by Solidigm, features Kelley Osburn of Graid Technology discussing the challenges of maximizing performance and resiliency of storage for AI with Jeniece Wnorowski and Stephen Foskett. AI servers are optimized for machine learning processing, and Graid Technology SupremeRAID offloads processing to GPUs similarly to the way these massively-parallel processors offload ML processing. They also have a peer-to-peer DMA feature to direct the data directly to the processor rather than forcing all data to pass through a single processor or channel. There is a need for RAID software at many spots in the data pipeline, from ingestion and preparation to processing and consolidation, and each requires performance and availability. There are many applications that require maximum performance and capacity without impacting the host CPU, including military, medical research and diagnostics, and financial, in addition to AI processing. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: https://www.linkedin.com/in/jeniecewnorowski/ Guest: Kelley Osburn, Senior Director at Graid Technology: https://www.linkedin.com/in/kelleyosburn/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
Many of the largest-scale data storage environments use Ceph, an open source storage system, and are now connecting this to AI. This episode of Utilizing Tech, sponsored by Solidigm, features Dan van der Ster, CTO of Clyso, discussing Ceph for AI Data with Jeniece Wnorowski and Stephen Foskett. Ceph began in research and education but today is widely used as well in finance, entertainment, and commerce. All of these use cases require massive scalability and extreme reliability despite using commodity storage components, but Ceph is increasingly able to deliver high performance as well. AI workloads require scalable metadata performance as well, which is an area that Ceph developers are making great strides. The software has also proved itself adaptable to advanced hardware, including today's large NVMe SSDs. As data infrastructure development has expanded from academia to HPC to the cloud and now AI, it's important to see how the community is embracing and improving the software that underpins today's compute stack. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: https://www.linkedin.com/in/jeniecewnorowski/ Guest: Dan van der Ster, CTO at CLYSO and Ceph Executive Council Member: https://www.linkedin.com/in/dan-vanderster/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
As the volume of data supporting AI applications grows ever larger, it's critical to deliver scalable performance without overlooking power efficiency. This episode of Utilizing Tech, sponsored by Solidigm, brings Chris Gladwin, CEO and co-founder of Ocient, to talk about scalable and efficient data platforms for AI with Jeniece Wnorowski and Stephen Foskett. Ocient has developed a new data analytics stack focused on scalability with energy efficiency for ultra-large data analytics applications. At scale, applications need to incorporate trillions of data points, and it is not just desirable but necessary to enable this without losing sight of energy consumption. Ocient leverages flash storage to reduce power consumption and increase performance but also moves data processing closer to the storage to reduce power consumption further. This type of integrated storage and compute would not be possible without flash, and reflects the architecture of modern processors, which locate memory on-package with compute. Ocient is already popular in telco, e-commerce, and automotive, and the scale of data required by AI applications is similar, especially as concepts like retrieval-augmented generation are implemented. The conversation around datacenter, cloud, and AI energy usage is coming to the fore, and companies must address the environmental impact of everything we do. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: https://www.linkedin.com/in/jeniecewnorowski/ Guest: Chris Gladwin, CEO and Cofounder, Ocient: https://www.linkedin.com/in/chris-gladwin-7ba42b/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
Cutting-edge AI infrastructure needs all the performance it can get, but these environments must also be efficient and reliable. This episode of Utilizing Tech, brought to you by Solidigm, features Davide Villa of Xinnor discussing the value of modern software RAID and NVMe SSDs with Ace Stryker and Stephen Foskett. Xinnor xiRAID leverages the resources of the server, including the AVX instruction set found on modern CPUs, to combine NVMe SSDs, providing high performance and reliability inside the box. Modern servers have multiple internal drive slots, and all of these drives must be managed and protected in the event of failure. This is especially important in AI servers, since an ML training run can take weeks, amplifying the risk of failure. Software RAID can be used in many different implementations, with various file systems, including NFS and high-performance networks like InfiniBand. And it can be tuned to maximize performance for each workload. Xinnor can help customers to tune the software to maximize reliability of SSDs, especially with QLC flash, by adapting the chunk size and minimizing write amplification. Xinnor also produces a storage platform solution called xiSTORE that combines xiRAID with the Lustre FS clustered file system, which is already popular in HPC environments. Although many environments can benefit from a full-featured storage platform, others need a software RAID solution to combine NVMe SSDs for performance and reliability. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: https://www.linkedin.com/in/acestryker/ Davide Villa, Chief Revenue Officer at Xinnor: https://www.linkedin.com/in/davide-villa-b1256a2/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
Organizations seeking to build an infrastructure stack for AI training need to know how the data platform is going to perform. This episode of Utilizing Tech, presented by Solidigm, includes Curtis Anderson, Co-Chair of the Storage Working Group at MLCommons, discussing storage benchmarking with Ace Stryker and Stephen Foskett. MLCommons is an industry consortium seeking to improve AI solutions through joint engineering. The organization publishes the well-known MLPerf benchmark, which now includes practical metrics for storage solutions. The goal of MLPerf Storage is to answer the key question: Will a given data infrastructure support AI training of a given scale. The organization encourages storage vendors to run the benchmarks against their solutions to prove the suitability to support specific workloads. The AI industry is already shifting its focus from maximum scale and performance to more-balances infrastructure using alternative GPUs, accelerators, and even CPUs, and is increasingly concerned about price and environmental impact. The question of data preparation is also rising, and this generally uses a different CPU-focused solution. MLPerf Storage is focused on training today and will soon address data preparation, though this can be quite different for each data set. The next MLPerf Storage benchmark opens soon, and we encourage all data infrastructure companies to get involved and submit their own performance numbers. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: https://www.linkedin.com/in/acestryker/ Guest: Curtis Anderson, Co-Chair MLCommons Storage Working Group: https://www.linkedin.com/in/curtis-anderson-174aa/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
Model training seriously stresses data infrastructure, but preparing that data to be used is a much more difficult challenge. This episode of Utilizing Tech features Subramanian Kartik of VAST Data discussing the broad data pipeline with Jeniece Wnorowski of Solidigm and Stephen Foskett. The first step in building an AI model is collecting, organizing, tagging, and transforming data. Yet this data is spread around the organization in databases, data lakes, and unstructured repositories. The challenge of building a data pipeline is familiar to most businesses, since a similar process is required in analytics, business intelligence, observability, and simulation, but generative AI applications have an insatiable appetite for data. These applications also demand extreme levels of storage performance, and only flash SSDs can meet this demand. A side benefit is the improvements in power consumption and cooling versus hard disk drives, and this is especially true as massive SSDs come to market. Ultimately the success of generative AI will drive greater collection and processing of data on the inferencing side, perhaps at the edge, and this will drive AI data infrastructure further. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: https://www.linkedin.com/in/jeniecewnorowski/ Guest: Subramanian Kartik, Ph. D, Global Systems Engineering Lead at VAST Data: https://www.linkedin.com/in/subramanian-kartik-ph-d-1880835/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
Analysts and press spend a lot of time talking about specs and performance numbers, so it's always a treat when we get to talk to people who are testing and using these products. This episode of Utilizing Tech is focused on AI Data Infrastructure and features Jordan Ranous from StorageReview and is co-hosted by Stephen Foskett and Ace Stryker from our sponsor, Solidigm. StorageReview has constricted an experimental environment focused on astrophotography as a way to demonstrate AI applications in challenging edge environments. Their setup included a ruggedized Dell server, NVIDIA GPU, and Solidigm SSDs. This is the same sort of setup found at edge compute environments in retail, manufacturing, and remote use cases. StorageReview benchmarks storage devices by profiling real-world applications and building representative infrastructure to test. When it comes to GPUs, the goal is to keep these expensive processors operating at maximum capacity through optimal network and storage throughput. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Ace Stryker, Director of Product Marketing, AI Product Marketing at Solidigm: https://www.linkedin.com/in/acestryker/ Guest: Jordan Ranous, AI, Hardware, & Advanced Workloads Specialist at StorageReview.com: https://www.linkedin.com/in/jranous/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #Sponsored, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
Great AI needs excellent data infrastructure, in terms of capacity, performance, and efficiency. This episode of Utilizing Tech serves as a preview of season 7, brought to you by Solidigm, and features co-hosts Jeniece Wnorowski and Ace Stryker along with Stephen Foskett. Solidigm's partners are discovering just how important it is to optimize every element of the Ai infrastructure stack. With ever-larger AI datacenters being built, efficient storage can make a big difference, from power and cooling to physical density to performance. As we will hear throughout season 7, different AI environments will need specialized data infrastructure, from the edge to the cloud. With retrieval-augmented generation (RAG) emerging as a new trend in AI, it makes high-performance even more important at run-time. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Jeniece Wnorowski, Datacenter Product Marketing Manager at Solidigm: https://www.linkedin.com/in/jeniecewnorowski/ Ace Stryker, Director of Product Marketing at Solidigm: https://www.linkedin.com/in/acestryker/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingTech, #AIDataInfrastructure, #AI, @SFoskett, @TechFieldDay, @UtilizingTech, @Solidigm,
We knew that 2024 would be the year of AI right from the start, but this season of the podcast has seen incredible development and change. This final episode of Utilizing Tech Season 6 features hosts Frederic Van Haren, Allyson Klein, and Stephen Foskett discussing the current state of AI infrastructure half-way through 2024. In addition to AI Field Day, we experienced NVIDIA GTC and numerous product introductions over the last few months. It's truly an ecosystem play now, with every company showing how well they can partner to build AI infrastructure. At the same time, a few superusers of AI are responsible for the basic models, including Google, Amazon, and Microsoft, and of course OpenAI and the other dedicated generative AI firms. The key to bringing this to the enterprise market is transfer learning, which will see a few base models tuned and trained for specific use cases. This season saw a range of guests discussing storage, data platforms, connectivity, and application development, and every one is focused on delivering practical AI solutions in the enterprise. Hosts: Stephen Foskett: https://www.linkedin.com/in/sfoskett/ Allyson Klein: https://www.linkedin.com/in/allysonklein/ Frederic Van Haren: https://www.linkedin.com/in/fredericvharen/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingAI, #UtilizingTech, #YearofAI, @UtilizingTech, @TechFieldDay, @TheFuturumGroup, @SFoskett, @FredericVHaren, @TechAllyson,
Both AI and quantum computing seemed entirely theoretical just a few years ago, yet generative AI is everywhere today. This episode of Utilizing Tech considers the promise of quantum computing generally and the applicability of this technology in AI with Dr. Bob Sutor of The Futurum Group, Alastair Cooke, and Stephen Foskett. One big challenge for quantum computing is the difficulty of storing data for calculations, a severe limitation for using the technology in AI. But there is the possibility of pairing classical computers with quantum processors to bring the best of both concepts. Both AI and quantum computing deal with linear algebra, so there is an affinity between the technologies, but it is likely that each will find use cases in different areas. Ultimately there is still a lot of development to do but quantum technology shows great promise in AI and beyond. Hosts: Stephen Foskett: https://www.linkedin.com/in/sfoskett/ Alastair Cooke: https://www.linkedin.com/in/alastaircooke/ Guest: Bob Sutor, Vice President and Practice Lead od Emerging Technologies at The Futurum Group: https://www.linkedin.com/in/bobsutor/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: @UtilizingTech, @GestaltIT, @TechFieldDay, @SFoskett, @DemitasseNZ, @TheFuturumGroup, #UtilizingAI, #AI,
As we consider the impact of AI on modern applications, we should consider the ways that this technology will improve these products. This episode of Utilizing Tech brings Matthew Wallace, CTO of Kamiwaza AI, to discuss the adoption of AI in application development with Allyson Klein and Stephen Foskett. Large SaaS providers were the first to add AI-powered features but this technology is rapidly coming to market across the spectrum of applications. Matthew likens this to the evolution from spreadsheets to SaaS tools and cloud, which was a similar revolution. He mentions tools like ?, Cursor, Llama2, Mixtral, and more. We also discuss retrieval-automated generation (RAG), which enables LLMs to bring in external data at run time. We must also consider the source of the data, both in training and RAG, and questions of sovereignty, privacy, copyright, and safety. Looking forward, Matthew expects companies to customize their own models based on use case specific data. Looking forward, we expect new frameworks and models to be adopted rapidly to bring maturity and reliability to AI in enterprise applications throughout 2024. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Allyson Klein: https://www.linkedin.com/in/allysonklein/ Guest: Matthew Wallace, CTO and Cofounder of KamiwazaAI: https://www.linkedin.com/in/matthewwallaceco/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: @UtilizingTech, @SFoskett, @TechAllyson, @KamiwazaAI, @TechFieldDay, #AIFD4, #AI, #UtilizingAI,
On this episode of DevOps Dialogues: Insights & Innovations, I am joined by The Futurum Group's Stephen Foskett and Keith Townsend, for a conversation on the impact of AI and Generative AI on DevOps, application modernization, and innovative development methodologies. The discussion covers: How the integration of AI, including Generative AI (GenAI), has impacted the efficiency and effectiveness of DevOps practices within modern software development lifecycles Specific examples where AI technologies have enhanced or optimized DevOps processes such as continuous integration, continuous deployment, and automated testing The challenges when implementing AI/GenAI within DevOps frameworks, and how can organizations address issues related to transparency, accountability, and bias in AI-driven decision-making Ways that AI contributes to the evolution of DevOps culture, collaboration, and cross-functional team dynamics, particularly in environments focused on agility and innovation How AI-powered analytics and predictive capabilities influence decision-making processes in DevOps, including resource allocation, risk management, and performance optimization across development, testing, and deployment pipelines These topics reflect ongoing discussions, challenges, and innovations within the DevOps community.
AI is accelerating application development and modernization in many ways, but developers are just ramping up their use of the technology. This episode of Utilizing Tech includes Paul Nashawaty, who focuses on application development at The Futurum Group, discussing this topic with Allyson Klein and Stephen Foskett. Use cases for AI include documentation, chatbots, data integration, programming co-pilots, and more. Regardless of how AI is used, organizations must accept that they are ultimately responsible for the products and outputs produced. Accelerating testing and thus the entire DevOps release cycle is one area where AI is making incredible growth. Another popular concept is retrieval-augmented generation (RAG) which brings existing datasets to generative AI to improve results. There is currently a lack of confidence in AI-based solutions and concern about the complexity and level of effort required to bring them to market, so vendors must help make deployment easier and better integrated. Product vendors are addressing this by delivering solutions with partners and popular platforms and frameworks. Open source tools and open data are also helping to move AI technologies forward. Developers want invisible infrastructure and platforms that just work, and the emerging AI PC segment promises more processing power on the desktop. 2024 is shaping up to be the year of AI in application development. Hosts: Stephen Foskett, Organizer of Tech Field Day: https://www.linkedin.com/in/sfoskett/ Allyson Klein: https://www.linkedin.com/in/allysonklein/ Paul Nashawaty, Practice Lead, Application Development Modernization at The Futurum Group: https://www.linkedin.com/in/paulnashawaty/ Follow Utilizing Tech Website: https://www.UtilizingTech.com/ X/Twitter: https://www.twitter.com/UtilizingTech Tech Field Day Website: https://www.TechFieldDay.com LinkedIn: https://www.LinkedIn.com/company/Tech-Field-Day X/Twitter: https://www.Twitter.com/TechFieldDay Tags: #UtilizingAI, #AppDev, #AI, @TheFuturumGroup, @GestaltIT, @TechFieldDay, @SFoskett, @TechAllyson, @PNashawaty,
Most people envision AI as a cool and orderly datacenter activity, but this technology will soon be everywhere. This episode of the On-Premise IT podcast contrasts the AI-based greenhouses of Nature Fresh Farms, as presented by guest Keith Bradley at AI Field Day, with the massive GPU-bound infrastructure many people imagine. Allyson Klein, Frederic Van Haren, and Stephen Foskett attended AI Field Day and were intrigued by the ways AI can process data from cameras and other sensors in a greenhouse environment. © Gestalt IT, LLC for Gestalt IT: Real World AI Looks a Lot Different From the Movies
Most people envision AI as a cool and orderly datacenter activity, but this technology will soon be everywhere. This episode of the On-Premise IT podcast contrasts the AI-based greenhouses of Nature Fresh Farms, as presented by guest Keith Bradley at AI Field Day, with the massive GPU-bound infrastructure many people imagine. Allyson Klein, Frederic Van Haren, and Stephen Foskett attended AI Field Day and were intrigued by the ways AI can process data from cameras and other sensors in a greenhouse environment. © Gestalt IT, LLC for Gestalt IT: Real World AI Looks a Lot Different From the Movies
Generative AI is becoming a key tool for software developers, and businesses are embracing it as well. This episode of the On-Premise IT podcast brings Paul Nashawaty of The Futurum Group, data expert Karen Lopez, and Stephen Foskett together to discuss how AI is impacting application development. Generative AI is incredibly compelling, rapidly producing credible output. that it's hard to put a stop to it. Rather than trying to stand in the way, companies are looking for better quality tools, with data privacy and compliance capabilities to fend off the negatives that can arise from AI-generated content. AI can also help with tasks like documentation and testing that are less popular and more problematic, and these can improve overall code quality as well. © Gestalt IT, LLC for Gestalt IT: Generative AI is Developing Applications
Generative AI is becoming a key tool for software developers, and businesses are embracing it as well. This episode of the On-Premise IT podcast brings Paul Nashawaty of The Futurum Group, data expert Karen Lopez, and Stephen Foskett together to discuss how AI is impacting application development. Generative AI is incredibly compelling, rapidly producing credible output. that it's hard to put a stop to it. Rather than trying to stand in the way, companies are looking for better quality tools, with data privacy and compliance capabilities to fend off the negatives that can arise from AI-generated content. AI can also help with tasks like documentation and testing that are less popular and more problematic, and these can improve overall code quality as well. © Gestalt IT, LLC for Gestalt IT: Generative AI is Developing Applications
Modern workloads are overloading hardware systems, and the CPUs in the market today aren't up to the task. In this episode of On-Premise IT Podcast recorded on the premises of the Cloud Field Day event in California, host Stephen Foskett is joined by Thomas LaRock, Shala Warner, and Jim Czuprynski from the IT world, to talk about innovation in hardware. The discussion addresses the burning question of whether investing in more specialized hardware solves the problem. Hear the panel explain how hardware innovation is intertwined with software innovation, and how the two components come together to power cutting-edge workloads. © Gestalt IT, LLC for Gestalt IT: Hardware Can’t Keep Up With Software
Modern workloads are overloading hardware systems, and the CPUs in the market today aren't up to the task. In this episode of On-Premise IT Podcast recorded on the premises of the Cloud Field Day event in California, host Stephen Foskett is joined by Thomas LaRock, Shala Warner, and Jim Czuprynski from the IT world, to talk about innovation in hardware. The discussion addresses the burning question of whether investing in more specialized hardware solves the problem. Hear the panel explain how hardware innovation is intertwined with software innovation, and how the two components come together to power cutting-edge workloads. © Gestalt IT, LLC for Gestalt IT: Hardware Can’t Keep Up With Software
In this episode of Infrastructure Matters, host Steven Dickens, alongside esteemed guests Stephen Foskett and Keith Townsend and co-host Camberley Bates, navigates the evolving landscape of IT infrastructure, focusing on innovation and challenges in the field. Recorded during Cloud Field Day, this dialogue sheds light on emerging technologies and the dynamics of industry collaboration. The conversation delves into the specifics of three companies - SoftIron, NeuroBlade, and Platform9 - highlighting their unique contributions to the IT infrastructure domain. Key points discussed include: SoftIron's innovative approach to hyper-converged infrastructure, emphasizing its scalability and security. The company's dedication to rethinking infrastructure from the silicon level up to the software stack, aiming for a comprehensive re-engineering for specific market needs. NeuroBlade's development of a SQL processing unit designed to significantly accelerate SQL queries. This technology promises to address the challenges of data processing speed and efficiency, potentially transforming data analytics and database management. Platform9's managed Kubernetes service and its attempt to enhance resource utilization in cloud environments. The focus is on their efforts to tackle the perennial problem of resource over-provisioning and inefficient use, aiming for a more cost-effective and efficient deployment model. Insights into the purpose and impact of Tech Field Day as a platform for dialogue between vendors and influential IT professionals. The event serves as a critical venue for sharing advancements and discussing the practical implications of new technologies in the field. This episode not only explores the technical intricacies of these companies but also reflects on the broader implications of their technologies on the IT infrastructure sector. Through engaging discussions and expert insights, Infrastructure Matters offers a deep dive into the future of technology infrastructure, emphasizing innovation, efficiency, and security.
Platform engineering has been happening for a long time, but today's implication is quite different. This episode of the On-Premise IT podcast brings platform engineering expert Michael Levan, industry analyst Steven Dickens, and host Stephen Foskett to consider what platform engineering is today. Building a platform for self service in the cloud has more in common with product development than the platforms delivered historically by IT infrastructure teams. One of the drivers for the DevOps trend was the divergence of IT development and operations over the last few decades, but this was different in the mainframe world. In many ways, today's platform engineering teams are more mature process-wise thanks to the demands of multi-tenant cloud applications. © Gestalt IT, LLC for Gestalt IT: Platform Engineering Isn’t Just DevOps Renamed
Platform engineering has been happening for a long time, but today's implication is quite different. This episode of the On-Premise IT podcast brings platform engineering expert Michael Levan, industry analyst Steven Dickens, and host Stephen Foskett to consider what platform engineering is today. Building a platform for self service in the cloud has more in common with product development than the platforms delivered historically by IT infrastructure teams. One of the drivers for the DevOps trend was the divergence of IT development and operations over the last few decades, but this was different in the mainframe world. In many ways, today's platform engineering teams are more mature process-wise thanks to the demands of multi-tenant cloud applications. © Gestalt IT, LLC for Gestalt IT: Platform Engineering Isn’t Just DevOps Renamed
Now that businesses have deployed modern applications in the cloud they are starting to ask whether it might be more attractive to run these on-premises. This episode of the On-Premise IT podcast features Jason Benedicic, Camberley Bates, and Ian Sanderson discussing the pros and cons of cloud repatriation with Stephen Foskett. A recent blog post by 37 Signals got the Tech Field Day delegates talking about the reality of running modern applications in enterprise-owned clouds, whether in the datacenter or co-located. Certainly the hardware and software are available to move applications on-prem, and some workloads may be better served this way. Most of the necessary components to run modern web applications are available on-prem, from Kubernetes to Postgres to Kafka, but these can prove difficult to manage, which is one of the things as-a-service customers are paying for. Looking back to the debut of OpenStack, enterprises have wanted to run applications in-house but they found it too difficult to manage. OpenShift is much more attractive thanks to the support and integration of the platform, but many customers have financial and administrative reasons for as-a-service deployment. It might not be a mass exodus, but there are plenty of examples of repatriation of modern applications. © Gestalt IT, LLC for Gestalt IT: Cloud Repatriation is Really Happening
Now that businesses have deployed modern applications in the cloud they are starting to ask whether it might be more attractive to run these on-premises. This episode of the On-Premise IT podcast features Jason Benedicic, Camberley Bates, and Ian Sanderson discussing the pros and cons of cloud repatriation with Stephen Foskett. A recent blog post by 37 Signals got the Tech Field Day delegates talking about the reality of running modern applications in enterprise-owned clouds, whether in the datacenter or co-located. Certainly the hardware and software are available to move applications on-prem, and some workloads may be better served this way. Most of the necessary components to run modern web applications are available on-prem, from Kubernetes to Postgres to Kafka, but these can prove difficult to manage, which is one of the things as-a-service customers are paying for. Looking back to the debut of OpenStack, enterprises have wanted to run applications in-house but they found it too difficult to manage. OpenShift is much more attractive thanks to the support and integration of the platform, but many customers have financial and administrative reasons for as-a-service deployment. It might not be a mass exodus, but there are plenty of examples of repatriation of modern applications. © Gestalt IT, LLC for Gestalt IT: Cloud Repatriation is Really Happening
Containerization of applications is only a small step forward from virtualization, but WebAssembly promises a real revolution. This episode of the On-Premise IT podcast, recorded live at KubeCon 2023 in Chicago, features Nigel Poulton, Ned Bellavance, Justin Warren, and Stephen Foskett discussing the prospects for WebAssembly. WebAssembly (WASM) is lauded for its potential to be faster, smaller, and more secure than its predecessors. But skepticism surrounds its long-term adoption and development trajectory, with debates centering on whether WASM can achieve the transformative status that containers once held. While WASM applications are technically more portable, smaller, and quicker to start, adoption remains at an early stage, appealing more to developers than operations professionals. © Gestalt IT, LLC for Gestalt IT: WebAssembly Will Displace Containers For Web-Scale Applications
Containerization of applications is only a small step forward from virtualization, but WebAssembly promises a real revolution. This episode of the On-Premise IT podcast, recorded live at KubeCon 2023 in Chicago, features Nigel Poulton, Ned Bellavance, Justin Warren, and Stephen Foskett discussing the prospects for WebAssembly. WebAssembly (WASM) is lauded for its potential to be faster, smaller, and more secure than its predecessors. But skepticism surrounds its long-term adoption and development trajectory, with debates centering on whether WASM can achieve the transformative status that containers once held. While WASM applications are technically more portable, smaller, and quicker to start, adoption remains at an early stage, appealing more to developers than operations professionals. © Gestalt IT, LLC for Gestalt IT: WebAssembly Will Displace Containers For Web-Scale Applications
The concept of identity management has become increasingly complex and challenging due to the purely digital nature of modern identity. This episode of the On-Premise IT podcast, recorded on-premises at ISS in Cleveland, features Bob Kalka of IBM, Leon Adato of Kentik, and Stephen Foskett discussing the various ways identity management tweaks our neuroses. As organizations grapple with this issue, they face the daunting task of merging elements such as identity, passkeys, passwords, and AI in a way that is seamless and less nerve-wracking. © Gestalt IT, LLC for Gestalt IT: Identity Management is Tweaking our Neuroses
The concept of identity management has become increasingly complex and challenging due to the purely digital nature of modern identity. This episode of the On-Premise IT podcast, recorded on-premises at ISS in Cleveland, features Bob Kalka of IBM, Leon Adato of Kentik, and Stephen Foskett discussing the various ways identity management tweaks our neuroses. As organizations grapple with this issue, they face the daunting task of merging elements such as identity, passkeys, passwords, and AI in a way that is seamless and less nerve-wracking. © Gestalt IT, LLC for Gestalt IT: Identity Management is Tweaking our Neuroses
As ransomware continues to pose a significant threat to enterprises, C-level executives must collaborate and communicate with IT. This episode of the On-Premise IT podcast, brought to you by Commvault and recorded live in New York at their Shift event, features Thomas Bryant of Commvault along with Gina Rosenthal, Eric Wright, and Stephen Foskett. The discussion focused on the crucial need to bridge departmental gaps so IT and executive management can work together. The panel also emphasized the need for openness about risks, lessons from past attacks and the role of government mandates. © Gestalt IT, LLC for Gestalt IT: Cybersecurity is a C-Suite Problem
As ransomware continues to pose a significant threat to enterprises, C-level executives must collaborate and communicate with IT. This episode of the On-Premise IT podcast, brought to you by Commvault and recorded live in New York at their Shift event, features Thomas Bryant of Commvault along with Gina Rosenthal, Eric Wright, and Stephen Foskett. The discussion focused on the crucial need to bridge departmental gaps so IT and executive management can work together. The panel also emphasized the need for openness about risks, lessons from past attacks and the role of government mandates. © Gestalt IT, LLC for Gestalt IT: Cybersecurity is a C-Suite Problem
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