Podcasts about HPC

Supercomputing has shifted from an esoteric and exotic part of technology to much more mainstream, mostly driven by AI. The massive amounts of computational power that once were reserved for the largest of computing problems in high performance computing (HPC), like weather and seismic analysis, are now commonplace in the world of AI. Analyst Gabriella Brown returns to talk about complex computing problems, quantum computing and photonics with host Eric Hanselman. SC25 has grown to over 16,000 attendees and almost 600 exhibitors, enough to sprawl across St. Louis' Americas Center and into its football stadium. As they mature, the next step in enterprise adoption is working out how all of these will work together. AI is tackling many problems, but quantum could address a whole different class of computing questions. Quantum computing is scaling up and moving closer to becoming a key part of an everyday computing portfolio. Techniques like quantum annealing are finding practical applications today while pure-play quantum approaches are increasing the density and stability of their computing capabilities as they push for quantum advantage, the point at which they're doing things that classical computers can't. New areas like photonic computing were also on display at SC25, as well as all of the supporting infrastructure to power, house and cool HPC installations. As AI clusters head toward gigawatt power dissipation, they require specialized support.   More S&P Global Content: Cybersecurity, talent needs and ongoing adoption were key themes at Quantum.Tech USA 2025 Access to quantum hardware remains cloudy, but more options are starting to appear Quantum computing and the future of data privacy   For S&P Global subscribers: 2026 Trends in Applied Infrastructure & DevOps Information security, cloud and AI vendors stand out as critical to businesses – Highlights from Vo… Quantum Computing Market Monitor & Forecast Quantum computing competitive landscape and market forecast: Expecting $6.5B by 2029 Mea culpa — NVIDIA GTC brings quantum to the stage to help set the record straight Credits Host/Author: Eric Hanselman  Guests: Gabriella (Ellie) Brown Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith  

The critical watches and warnings issued by the National Weather Service (NWS) inform everything from a firefighter's deployment to wildfires to the public's beach plans. This information is powered by some of the most advanced computational infrastructure in the world. According to David Michaud, director of the National Centers for Environmental Prediction's Central Operations at the NWS, high-performance computing (HPC) is the indispensable foundation that turns raw atmospheric data into actionable public safety information. Michaud joined GovCast to discuss HPC and the IT systems accelerating science at NWS, including the service's operational supercomputers capable of calculating up to 14 quadrillion calculations per second. Michaud also talked about the burgeoning role of AI/ML in weather prediction. These new predictive models are not intended to replace the traditional NWP models, but to complement them.

- Nvidia H200 exports to China - H20, H200, Chinese chips: how do they stack up? - Few fast GPUs vs many slow GPUs - China's electricity production - Datacenter electricity use in the US - Cell-phone sized AI supercomputer - HPC at the edge - Regulating AI [audio mp3="https://orionx.net/wp-content/uploads/2025/12/HPCNB_20251215.mp3"][/audio] The post HPC News Bytes – 20251215 appeared first on OrionX.net.

Pastor Marla Stroup encourages us this holiday season on how we can have deep, rooted joy in the middle of our mess and tough circumstances.

By David Stephen There is a new [December 2, 2025] paper in Nature, Artificial intelligence for quantum computing, stating that, "Quantum computing (QC) has the potential to impact every domain of science and industry, but it has become increasingly clear that delivering on this promise rests on tightly integrating fault-tolerant quantum hardware with accelerated supercomputers to build accelerated quantum supercomputers." Will Conceptual Brain Science Advance Quantum Computing? "However, transitioning hardware from noisy intermediate-scale quantum (NISQ) devices to fault-tolerant quantum computing (FTQC) faces a number of challenges. Though recent quantum error correction (QEC) demonstrations have been performed, all popular qubit modalities suffer from hardware noise, preventing the below-threshold operation needed to perform fault-tolerant computations." "Though high-performance computing (HPC), and in particular, accelerated GPU computing, already drives QC research through circuit and hardware simulations, the rise of generative artificial intelligence (AI) paradigms has only just begun." "Despite the considerable promise of AI, it is critical to recognize its limitations when applied to QC. AI, as a fundamentally classical paradigm, cannot efficiently simulate quantum systems in the general case due to exponential scaling constraints imposed by the laws of quantum mechanics. Classical simulation of quantum circuits suffers from exponential growth in computational cost and memory consumption." "In the broadest of strokes, we can categorize deep neural network (DNN) applications as discriminative and generative. The former seeks to learn the conditional probability distribution P(y?x) of value vector y given feature vector x, whereas the latter seeks the joint probability distribution P(x, y)." "Critical for training all of these deep learning methods is high-quality data. In the case of QC, this data must often be obtained via simulation with supercomputers due to noise and scale limitations of quantum computers, as well as the cost (time and economic) of obtaining quantum data." "AI for quantum computer development and design. Device design. Learning models of quantum systems. AI for preprocessing. Quantum circuit compilation. Unitary synthesis. AI for circuit optimization. AI models to generate compact circuits. AI for device control and optimization. Designing optimal dynamics. Remove unwanted dynamics. AI for quantum error correction. AI for post-processing. Efficient observable estimation and tomography. Error mitigation techniques. Accelerated quantum supercomputing systems. Simulating high quality data sets." "Most importantly, each aspect of QC needs to scale, and AI might be the only tool with the ability to both solve these problems effectively and do so efficiently at scale. AI has only begun to benefit QC, and it is likely that AI will play an increasingly critical role into the realization of useful QC applications and FTQC." AI A simple way to describe AI is a technology that copied what works: the brain. Or, simply, AI is a technology that looked at the best case of intelligence in nature, the human brain, and imitated it, in the ways that is mathematically possible. Also, large language models [LLMs] copied a major basis of intelligence, language. While it is possible to operate intelligence in other ways, language is central - to human intelligence - for thinking, listening, writing, reading, singing, signing, speaking and so on. So, AI is as good as it is, following the lead of the brain, directly. Now, if this made AI relevant more than any technology that has ever existed, what should any other aspirational technology do? Copy the imitation, AI, or copy the source, the human brain? Quantum Computing There are several engineering gaps in quantum computing where fundamental answers should be sought in the brain. While AI can be currently useful for several improvement cases, the brain should be aggres...

What's the current state of play in the world of networking? This week, Technology Now returns to HPE Discover Barcelona for a discussion with Rami Rahim, President and General Manager, HPE Networking. We ask why networking is so important, how it is possible to keep the world connected, and explore what networking will look like going into the future.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations. This episode is available in both video and audio formats.About Rami Rahim: https://www.hpe.com/uk/en/leadership-bios/rami-rahim.html

In this conversation, Rob Jones, Area Vice President of Sales at Chatsworth Products (CPI), discusses the critical need for advanced cooling solutions in data centers driven by the convergence of AI and high-performance computing (HPC). He highlights CPI's innovative liquid cooling technologies, which are essential for managing the increasing heat output from modern GPUs. The discussion also covers the types of organizations adopting CPI's solutions and how CPI is future-proofing infrastructure to accommodate evolving technology demands.Thank you to Chatsworth Products/CPI for their sponsorship of the podcast. Their expertise and support helps us to the keep the lights on here at the podcast. Please check out their selection of products on Graybar's website or reach out to your local Graybar representative to learn how CPI can help keep your data center efficient and cool.https://www.graybar.com/manufacturers/chatsworth/c/sup-chatsworth-group?utm_source=podcast&utm_medium=show-notes&utm_campaign=Sponsor-Highlight-2025-ChatsworthYouTube link: https://youtu.be/GDTl_Mux9SQ 

- Marvell in AI, Celestial AI - Co-Packaged Optics, Photonics Interconnects - Lasers for EUV, xLight FEL Lasers, ASML Cymer's LPP Lasers - ASML, Canon, Nikon - Chinese efforts in chip manufacturing: SMEE, SiCarrier - Canon's Nano Imprint Lithography (NIL) - China's Xizhi Electron Beam Lithography - Okinawa Institute of Science and Technology (OIST)'s simplified optics in EUV - SDCS Research on Parkinson's Disease [audio mp3="https://orionx.net/wp-content/uploads/2025/12/HPCNB_20251208.mp3"][/audio] The post HPC News Bytes – 20251208 appeared first on OrionX.net.

Public sector AI is moving fast. The big question is how to build it the right way. I had a blast chatting with Andrew Wheeler, Hewlett Packard Enterprise Fellow and Vice President at Hewlett Packard Labs and HPC & AI Advanced Development at NVIDIA GTC in Washington, DC. We talked about:* How HPE helps agencies build and scale sovereign AI ecosystems* Why the public sector is a core focus for HPE in AI* Practical steps for data sovereignty, compliance, and security without slowing innovation* Where sovereign AI shows up first: government, defense, citizen services, large-scale research* How HPC and supercomputing power national-scale AI* What quantum could unlock for government programs and where HPE fitsIf you care about trusted AI for cities, states, and national labs, this one is worth a watch.Full interview now live!!!!#data #ai #hpe #nvidiagtc #gtc2025 #gpu #sovereign #nvidia #theravitshow

We've been handed the baton of faith by those who have gone before us. In the last installment of the “By Faith” series, Pastor Mike Haman teaches us what is required to successfully pass the baton to the next generation.

What's going on at HPE Discover Barcelona 2025. This week, Technology Now visits Barcelona for an interview with company CEO Antonio Neri. We ask what the how the world of technology is faring a quarter of the way into the 21st century, we look forward to where we're heading in the future, and we explore how HPE is responding to our changing world.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations. This episode is available in both video and audio formats.http://www.hpe.com/discover/barcelona

Patch is at the HPC to talk to the team that won promotion 50 years ago in 1976...

CleanSpark CEO Matt Schultz joins us to discuss CleanSpark's fiscal year 2025 earnings. Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! Today, Matthew Schultz, CEO of CleanSpark, joins us to talk about CleanSpark'sfiscal year 2025 earnings. CleanSpark raked in $766M in revenue for the year, hit the 50 EH/s milestone, and has begun expanding into AI loads. Schultz shares insights on CleanSpark's partnerships with Submer for cooling solutions, the company's capital strategy, the potential for hybrid mining-HPC loads at CleanSpark sites, and what the AI revolution means for bitcoin mining in the United States. Subscribe to the newsletter! https://newsletter.blockspacemedia.com **Notes:** • $766M in FY 2025 revenue  • LEadership change refocused company • Austin Texas site underway • AI load feasibility being explored for Sandersville, other sites • $1.15B convertible note almost over subscribed Timestamps: 00:00 Start 03:15 Overview of fiscal year 07:16 Leadership change 09:43 Texas site development 13:41 Submer cooling solutions partner 18:30 Containerized solutions 21:39 Green field vs retrofit 27:23 Blended AI & mining sites 30:50 Two business lines 36:11 $1.15B note 45:19 Evaluating operators

- CRN's Top 10 Semiconductor Companies of 2025 - Google TPU vs. Nvidia - Neoclouds, New Customer Class - DOE Genesis Mission National Initiative [audio mp3="https://orionx.net/wp-content/uploads/2025/11/HPCNB_20251201.mp3"][/audio] The post HPC News Bytes – 20251201 appeared first on OrionX.net.

Pastor Mike Haman continues in the "By Faith" series by talking through the faith necessary to embrace a new beginning.

Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! Today, Matthew Schultz, CEO of CleanSpark, joins us to talk about CleanSpark'sfiscal year 2025 earnings. CleanSpark raked in $766M in revenue for the year, hit the 50 EH/s milestone, and has begun expanding into AI loads. Schultz shares insights on CleanSpark's partnerships with Submer for cooling solutions, the company's capital strategy, the potential for hybrid mining-HPC loads at CleanSpark sites, and what the AI revolution means for bitcoin mining in the United States. Subscribe to the newsletter! https://newsletter.blockspacemedia.com **Notes:** • $766M in FY 2025 revenue  • LEadership change refocused company • Austin Texas site underway • AI load feasibility being explored for Sandersville, other sites • $1.15B convertible note almost over subscribed Timestamps: 00:00 Start 03:15 Overview of fiscal year 07:16 Leadership change 09:43 Texas site development 13:41 Submer cooling solutions partner 18:30 Containerized solutions 21:39 Green field vs retrofit 27:23 Blended AI & mining sites 30:50 Two business lines 36:11 $1.15B note 45:19 Evaluating operators

Love AWS Fargate, but occasionally hit the “I need more control” wall (GPUs, storage, network bandwidth, instance sizing)? In this episode of AWS Bites, Eoin and Luciano put the brand-new Amazon ECS Managed Instances (ECS MI) under the microscope as the “middle path” between Fargate simplicity and ECS on EC2 flexibility. We unpack what ECS MI actually is and where it fits in the ECS spectrum, especially how it changes the way you think about clusters and capacity providers. From there we get practical: we talk through the pricing model (EC2 pricing with an additional ECS MI fee that can be a bit counterintuitive if you rely heavily on Reserved Instances or Savings Plans), and we share what it feels like to finally get GPU support in an experience that's much closer to Fargate than to “full EC2 fleet management”. To make it real, we walk through what we built: a GPU-enabled worker that transcribes podcast audio using OpenAI Whisper, including the end-to-end setup in CDK (roles, capacity provider wiring, task definitions, and service configuration). Along the way we call out the rough edges we ran into, like configuration options that look like they might enable Spot-style behavior, and the operational realities you should expect, such as tasks taking roughly 3–4 minutes to start when ECS needs to provision fresh capacity. We close by mapping out the workloads where ECS MI shines (queue-driven GPU jobs, HPC-ish compute, tighter storage/network control) and the scenarios where it's probably the wrong choice, like when you need custom AMIs, SSH access, or stricter isolation guarantees.In this episode, we mentioned the following resources: Amazon ECS Managed Instances: ⁠https://aws.amazon.com/ecs/managed-instances/⁠ ECS Managed Instances documentation: ⁠https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ManagedInstances.html⁠ Amazon Bottlerocket (what it is): ⁠https://aws.amazon.com/bottlerocket/⁠ Our CDK ECS MI template: ⁠https://github.com/fourTheorem/cdk-ecs-mi-template⁠ Ep 42. How do you containerise and run your API with Fargate?: ⁠https://awsbites.com/42-how-do-you-containerise-and-run-your-api-with-fargate/⁠ Ep 72. How do you save cost with ECS?: ⁠https://awsbites.com/72-how-do-you-save-cost-with-ecs/⁠ Ep 10. Lambda or Fargate for containers?: ⁠https://awsbites.com/10-lambda-or-fargate-for-containers/⁠ Ep 38. How do you choose the right compute service on AWS?: ⁠https://awsbites.com/38-how-do-you-choose-the-right-compute-service-on-aws/⁠ Ep 143. Is App Runner better than Fargate?: ⁠https://awsbites.com/143-is-app-runner-better-than-fargate/⁠ Do you have any AWS questions you would like us to address?Leave a comment here or connect with us on X/Twitter, BlueSky or LinkedIn:- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/eoins⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bsky.app/profile/eoin.sh⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/eoins/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/loige⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bsky.app/profile/loige.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/lucianomammino/

Dell Technologies and NVIDIA are delivering the future of enterprise AI with advancements to the Dell AI Factory with NVIDIA. These advancements provide simplicity, performance and flexibility for advanced environments and support enterprises across AI applications, from traditional to agentic. Why it Matters A new era of high-performance computing (HPC) and enterprise AI is here. As enterprises scale, many face challenges such as managing complex ecosystems of hardware and software or gaining control over their data. According to recent research, 95% of enterprises believe working with a trusted technology partner like Dell Technologies reduces the risks associated with adopting new technologies. Additionally, 90% agree that bringing AI to their data creates greater value through enhanced control, fresh insights, and secure access. Enter the Dell AI Factory with NVIDIA - a game-changer for enterprises looking to accelerate outcomes, reduce complexity and maximise ROI. By integrating Dell's robust end-to-end infrastructure with NVIDIA AI technology, backed by expert guidance from Dell Professional Services, organisations can transform ideas into tangible results and stay ahead of evolving technologies and scaling needs. Accelerate deployment with integrated, automated platforms Dell's storage and AI solutions offerings help enterprises automate deployments, optimise performance and deliver real-time AI applications with greater efficiency and reliability. Dell ObjectScale and PowerScale, the Dell AI Data Platform's storage engines for unstructured data, are now integrated with the NVIDIA NIXL library, part of NVIDIA Dynamo. This integration enables scalable KV Cache storage, reuse and sharing, achieving a 1-second Time to First Token (TTFT) at a full context window of 131K tokens - 19X faster than standard vLLM - while reducing infrastructure costs and overcoming GPU memory capacity bottlenecks.[iv] The Dell AI Factory with NVIDIA now includes solutions with Dell PowerEdge XE7740/XE7745 servers featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and NVIDIA Hopper GPUs. These proven and validated offers feature next-level AI acceleration and computing power to execute advanced use cases - from large-scale multimodal models to emerging agentic AI applications and from enterprise-grade inferencing to training workloads. The Dell Automation Platform, now expanded to the Dell AI Factory with NVIDIA, will deliver smarter, more automated experiences by deploying validated, optimised solutions with a secure framework. This approach will produce repeatable outcomes, eliminate guesswork, and help unlock the full potential of AI-driven use cases powered by NVIDIA accelerated computing. Software-driven tools like the AI code assistant with Tabnine and the agentic AI platform with Cohere North are now automated, getting AI workloads into production faster, streamlining operations and enhancing scalability. Beyond the traditional data centre, Dell's ecosystem enablers for AI PCs offer organisations expanded silicon options, now supporting NVIDIA RTX Blackwell GPUs and NVIDIA RTX Ada GPUs, ensuring compatibility across a broader range of Dell devices. Dell Professional Services provides turnkey interactive AI use case pilots using real customer data to validate business value ahead of scaled investments. These expert-led pilots offer a hands-on preview for experimentation with clear success metrics and KPIs, delivering tangible ROI. Uplevel AI performance with next-generation infrastructure Dell infrastructure updates accelerate HPC and AI innovation by delivering platforms with powerful performance, scalability, and streamlined management. These solutions will help organisations build efficient systems for modern workloads. The Dell PowerEdge XE8712 server, available next month, sets a new standard by delivering the industry's highest GPU density in a standard rack with up to 144 NVIDIA Blackwell GPUs per Dell IR7000 rack. This b...

- SC25 quick takes - Thank you St. Louis - Hyperion Research annual SC briefing - Hyperion quantum computing update - New public-private partnership model for DOE's new supercomputers [audio mp3="https://orionx.net/wp-content/uploads/2025/11/HPCNB_20251124.mp3"][/audio] The post HPC News Bytes – 20251124 appeared first on OrionX.net.

In the second installment of the “By Faith” series, Pastor Mike Haman uses the journey of Moses to encourage us to face our excuses with the truth of who God is and who He has called us to be.

Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! Today, Haris Basit, CSO at Bitdeer, joins us to break down their Q3 results, where revenue hit $169.7M (up 173% YoY), self-mining production doubled to 1,109 BTC, and they achieved 41.2 EH/s of self-mining capacity. We dive deep into Bitdeer's AI and HPC expansion strategy across sites in Norway, Tennessee, Washington, and Ohio, discuss the SEALMINER A3's production schedule and A4 chip development delays, and get updates on the Massillon facility fire recovery. Subscribe to the newsletter! https://newsletter.blockspacemedia.com **Notes:** • Revenue up 173% YoY to $169.7M • Self-mining doubled: 565 to 1,109 BTC • Hash rate reached 41.2 exahash in October • Adjusted EBITDA: $43M vs -$7.9M last year • SEALMINER delays • AI expansion: planned across 4 sites Timestamps: 00:00 Start 03:32 Overview of report 05:43 Colocation vs self mining vs neoloud 09:30 Why do both colocation & neocloud? 10:42 Facility fire 12:13 Bhutan 15:01 Convertible notes 16:43 Future financing options 18:54 Cloud mining profitability 19:57 Choosing where to locate services 22:11 Alberta 24:03 Ethiopia 25:20 ASIC production 28:35 A4 delays 31:39 What's coming?

Join Shahin and Doug as they analyze and discuss the new TOP500 list. They go over HPL, HPL-MxP, HPCG, Green500, geographical distribution, vendor distribution, and other observations. [audio mp3="https://orionx.net/wp-content/uploads/2025/11/106@HPCpodcast_SP_TOP500_SC25_20251119.mp3"][/audio] The post @HPCpodcast-106: TOP500 at SC25 Conference appeared first on OrionX.net.

My interview with George Kikvadze, Executive Vice Chairman of BitFury. - How Bitcoin mining scaled from hobbyist rigs to billion-dollar data centres - Why state-backed mining is a natural extension of open-source networks - How miners are pivoting to AI and HPC infrastructure - The mindset founders need to succeed in crypto: resilience, adaptability, purpose - Why complacency is the biggest threat to the industry's future - The importance of doubling down on education, ethics, and values - George's bold call: Bitcoin to hit $1M within 5 years—and why The full interview is also available on my YouTube channel: YouTube: https://bit.ly/49trmsU  

Dell Technologies has unveiled enhancements to the Dell AI Factory designed to simplify and accelerate the enterprise AI journey. These portfolio additions boost performance and automation for AI workloads while removing bottlenecks, delivering greater control with integrated, resilient on-premises infrastructure. Why it matters In today's digital landscape, organisations increasingly rely on AI to stay competitive and foster innovation. The momentum is clear with 85 percent of enterprises planning to move AI on-premises within the next 24 months. Seventy-seven per cent of those seeking AI are looking for one holistic infrastructure vendor to provide capabilities across their AI journey. Dell's expanded portfolio addresses these needs with the industry's broadest end-to-end AI portfolio designed to streamline AI adoption and deliver impactful results. Simplified and automated AI journey The Dell Automation Platform, now expanded to the Dell AI Factory, will deliver smarter, more automated experiences by deploying validated, optimised solutions with a secure framework. This approach will produce repeatable outcomes, eliminate guesswork, and help unlock the full potential of AI-driven use cases across Dell's ecosystem of technology partners. Key advancements include: Software-driven tools like the AI code assistant with Tabnine and agentic AI platform with Cohere North are now automated, getting AI workloads into production faster, streamlining operations and enhancing scalability. Dell Professional Services provide turnkey interactive AI use case pilots using real customer data to validate business value ahead of scaled investments. These expert-led pilots offer a hands-on preview for experimentation with clear success metrics and KPIs, delivering tangible ROI. Breakthrough performance and efficiency for AI workloads Enhanced Data Management: How organisations manage, secure and scale that data will separate the winners from the laggards. Updates to Dell PowerScale and Dell ObjectScale, the Dell AI Data Platform's storage engines, boost performance, scalability, and data discovery capabilities. Dell PowerScale will soon be available as an independent software license on qualified Dell PowerEdge servers like the Dell PowerEdge R7725xd. This news is the latest in Dell software-driven storage innovation following the announcement of a new software-defined Dell ObjectScale. These new Dell PowerScale and Dell ObjectScale configurations will help organisations like cloud service providers realise even greater AI performance while having the flexibility to adopt the latest server and networking technologies to meet infrastructure needs. Dell PowerScale parallel NFS (pNFS) support with Flexible File Layout will enable two-way communication between the metadata server and client, allowing for better parallel distribution of data across multiple nodes in a PowerScale cluster. Deliver significant throughput, performance gains and linear scalability with parallel I/O across multiple pathways. This update is designed to provide increased parallelism, delivering massive scalability and throughput tailored for demanding AI workflows. Dell ObjectScale AI-Optimised Search offers two complementary AI-optimised search capabilities for Dell ObjectScale storage - S3 Tables and S3 Vector. These two specialised APIs provide high-speed access to complex data stored directly on ObjectScale to support analytics and key AI workloads like inferencing and retrieval-augmented generation (RAG), empowering faster decision-making and easier storage, retrieval and search of expanding datasets. PowerEdge Innovations: Dell PowerEdge servers provide the foundation for enterprise AI, delivering faster training, distributed inference and reduced time to insights - all while offering flexible cooling options to align with diverse enterprise strategies: Dell PowerEdge XE9785 and XE9785L are purpose-built for next-generation AI and HPC workloads. The air-cooled XE97...

Thomas Monz, CEO of AQT (Alpine Quantum Technologies), joins Sebastian Hassinger on The New Quantum Era to chart the evolution of ion-trap quantum computing — from the earliest breakthroughs in Innsbruck to the latest roll-outs in supercomputing centers and on the cloud. Drawing on a career that spans pioneering research and entrepreneurial grit, Thomas details how AQT is bridging the gap between academic innovation and practical, scalable systems for real-world users. The conversation traverses AQT's trajectory from component supplier to systems integrator, how standard 19-inch racks and open APIs are making quantum computing accessible in Europe's top HPC centers, what Thomas anticipates from AQT launching on Amazon Braket, a quantum computing service from AWS, and what it will take for quantum to deliver genuine economic value.Guest Bio  Thomas Monz is the CEO and co-founder of AQT. A physicist by training, his work has helped transform trapped-ion quantum computing from a fundamental research topic into a commercially viable technology. After formative stints in quantum networks, high-precision measurement, and hands-on engineering, Thomas launched AQT alongside Peter Zoller and Rainer Blatt to make robust, scalable quantum computers available far beyond the university lab. He continues to be deeply engaged in both hardware development and quantum error correction research, with AQT now deploying systems at EuroHPC centers and bringing devices to Amazon Braket.Key Topics  From research prototype to rack-ready: How the pain points converting lab experiments into user-friendly hardware led AQT to build its quantum computers in the same form factors and standards as classical infrastructure, making plug-and-play integration with the supercomputing world possible.  Hybrid quantum–HPC deployments: Why systems-level thinking and classic IT lessons (such as respecting 19-inch rack and power standards) have enabled AQT to place ion-trap quantum computers in Germany and Poland as part of the EuroHPC initiative — and why abstraction at the API level is essential for developer adoption.  Error correction and code flexibility: How the physical properties of trapped ions let AQT remain agnostic to changing error-correcting codes (from repetition and surface codes to LDPC), enabling swift adaptation to new breakthroughs via software rather than expensive new hardware — and why end-users should never have to think about error correction themselves.  Scaling and networking: The challenges moving from one-dimensional to two-dimensional traps, the emerging role of integrated photonics, and AQT's vision for interconnecting quantum computers within and across HPC sites using telecom-wavelength photons.  From local to cloud: What AQT's move to Amazon Braket means for the range and sophistication of end-user applications, and how broad commercial access is shifting priorities from scientific exploration to real-world performance and customer-driven features.  Collaboration as leverage: How AQT's open approach to integration—letting partners handle job scheduling, APIs, and orchestration—positions it as a technology supplier while benefiting from advances across Europe's quantum ecosystem.Why It Matters  AQT's journey illustrates how “physics-first” quantum innovation is finally crossing into scalable, reliable real-world systems. By prioritizing integration, user experience, and abstraction, AQT is closing the gap between experimental platforms and actionable quantum advantage. From better error rates and hybrid deployments to global cloud infrastructure, the work Thomas describes signals a maturing industry rapidly moving toward both commercial impact and new scientific discoveries.Episode Highlights  How Thomas's PhD work helped implement the first three-qubit ion-trap gates and formed the foundation for AQT's technical strategy.  The pivotal insight: moving from bespoke lab systems to standardized products allowed quantum hardware to be deployed at scale.  The surprisingly smooth physical deployment of AQT machines across Europe, thanks to a “box-on-a-truck” design.  Real talk on error correction, the importance of LDPC codes, and the flexibility built into trapped-ion architectures.  The future of quantum networking: sending entangled photons between HPC facilities, and the promise of scalable cluster architectures.  What cloud access brings to the roadmap, including new end-user requirements and opportunities for innovation in error correction as a service.---- This episode offers an insider's perspective on the tight coupling of science and engineering required to bring quantum computing out of the lab and into industry. Thomas's journey is a case study in building both technology and market readiness — critical listening for anyone tracking the real-world ascent of quantum computers. In the spirit of full disclosure, Sebastian is an employee of AWS, working on quantum computing for the company, though he is not a member of the Braket service team. 

Interview : Philippe Notton, CEO de SiPearlPourquoi était-il urgent pour l'Europe de relancer une filière microprocesseur ?Depuis des décennies, l'Europe dépend totalement des technologies américaines et asiatiques pour le calcul haute performance. Cette dépendance est dangereuse : elle alimente la R&D étrangère, crée un transfert massif de valeur hors du continent et expose l'Europe aux décisions géopolitiques de pays tiers. Aujourd'hui, entre les restrictions d'export, les risques de kill switches et l'accès parfois limité à certains composants, il était urgent de reconstruire une capacité européenne. SiPearl s'inscrit dans ce réveil nécessaire.Qu'apporte RHEA-1 sur le plan technologique par rapport aux standards du marché ?REHA-1 repose sur une architecture ARM, plus efficiente et plus moderne que le x86 historique. Cela nous permet d'obtenir un excellent ratio performance/consommation, un point clé pour les datacenters.Le processeur embarque une très grande quantité de mémoire, ce qui le rend idéal pour le calcul scientifique ou l'inférence IA de modèles volumineux. Gravé en 6 nm, il se situe dans les standards actuels du HPC, et notre génération 2 passera au 3 nm pour renforcer densité et efficacité énergétique. Le fait d'avoir remporté l'appel d'offres du supercalculateur Jupiter face à Intel démontre que nos performances sont au niveau des leaders mondiaux.Pourquoi votre stratégie repose-t-elle sur le modèle fabless et sur TSMC ?Pour fabriquer un processeur avancé, il faudrait posséder une usine dont le coût dépasse les 30 milliards d'euros : impossible pour une startup. Le modèle fabless nous permet de nous concentrer sur la conception, tout en profitant du savoir-faire de TSMC, leader mondial.Même les géants américains – AMD, Nvidia, Apple – fonctionnent ainsi. L'enjeu pour l'Europe est donc d'abord de créer des produits compétitifs ; ensuite seulement, une demande suffisamment forte pourrait justifier l'installation de lignes de production avancées sur le continent.Quel rôle jouera SIPearl dans les supercalculateurs européens de nouvelle génération ?Notre premier client est le supercalculateur Jupiter, en Allemagne, où nos processeurs seront intégrés par Eviden. Jupiter sera la machine la plus puissante d'Europe, destinée au calcul scientifique, à l'intelligence artificielle et à des applications stratégiques.Ce premier déploiement est crucial : il prouve que l'Europe peut concevoir du silicium de très haut niveau et l'intégrer dans des systèmes complets. Les prochains supercalculateurs – dont le projet français Alice Recoque – pourraient amplifier cette dynamique et installer durablement une filière européenne de HPC.-----------♥️ Soutien : https://mondenumerique.info/don

- Chip Restrictions in China - Quantum Computing: IBM, Quantinuum, D-Wave, US DOE, UK NMI-Q, Julich - SDSC 40th Anniversary, the original 5 NSF centers - SC25 glance ahead [audio mp3="https://orionx.net/wp-content/uploads/2025/11/HPCNB_20251117.mp3"][/audio] The post HPC News Bytes – 20251117 appeared first on OrionX.net.

Pastor Mike Haman begins a brand-new teaching series titled “By Faith” by encouraging us how to have faith when nothing makes sense.

Analyst roundtable covering the big ideas in technology that are changing the world, with Adrian Cockcroft, Stephen Perrenod, Chris Kruell, and Shahin Khan. In this episode: - Agent Swarm Coding, "AI-Aided Coding"? - AI circular funding or flywheel - Data Center build-out complexities, and overbuilding? - New Exascale DOE Supercomputers - Data FLow Architecture, Reconfigurable Architecture - AI-RAN, GPUs on Telephone Poles - 15th CryptoSuper500 report, Bitcoin Price Drop, ZCash, Monero - Quantum Advantage claims [audio mp3="https://orionx.net/wp-content/uploads/2025/11/OXD033_ART-9_20251115.mp3"][/audio] The post Analyst Roundtable: AI, Crypto, Quantum, Chips – OXD33 appeared first on OrionX.net.

Join Addison and Alex as they discuss Dept. of Energy funding for HPC and AI, and look ahead at next week's SC25 Conference in St. Louis, MO.

Dan Nystedt, vice president of research at Tri-Orient Investments, joins us to discuss the Asian tech scene: geopolitical tensions and Taiwan's role, rivalries in chip manufacturing and AI, complexities of the global tech supply chain, and China's rare earth dominance and geopolitical impact. [audio mp3="https://orionx.net/wp-content/uploads/2025/11/105@HPCpodcast_ID_Dan-Nystedt_Chips-AI-China_20251113.mp3"][/audio] The post @HPCpodcast-105: Dan Nystedt on Chips, China, AI Tech appeared first on OrionX.net.

On this episode of the Data Center Frontier Show, DartPoints CEO Scott Willis joins Editor in Chief Matt Vincent to discuss why regional data centers are becoming central to the future of AI and digital infrastructure. Fresh off his appearance on the Distributed Edge panel at the 2025 DCF Trends Summit, Willis breaks down how DartPoints is positioning itself in non-tier-one markets across the Midwest, Southeast, and South Central regions—locations he believes will play an increasingly critical role as AI workloads move closer to users. Willis explains that DartPoints' strategy hinges on a deeply interconnected regional footprint built around carrier-rich facilities and strong fiber connectivity. This fabric is already supporting latency-sensitive workloads such as AI inference and specialized healthcare applications, and Willis expects that demand to accelerate as enterprises seek performance closer to population centers. Following a recent recapitalization with NOVA Infrastructure and Orion Infrastructure Capital, DartPoints has launched four new expansion sites designed from the ground up for higher-density, AI-oriented workloads. These facilities target rack densities from 30 kW to 120 kW and are sized in the 10–50 MW range—large enough for meaningful HPC and AI deployments but nimble enough to move faster than hyperscale builds constrained by long power queues. Speed to market is a defining advantage for DartPoints. Willis emphasizes the company's focus on brownfield opportunities where utility infrastructure already exists, reducing deployment timelines dramatically. For cooling, DartPoints is designing flexible environments that leverage advanced air systems for 30–40 kW racks and liquid cooling for higher densities, ensuring the ability to support the full spectrum of enterprise, HPC, and edge-adjacent AI needs. Willis also highlights the importance of community partnership. DartPoints' facilities have smaller footprints and lower power impact than hyperscale campuses, allowing the company to serve as a local economic catalyst while minimizing noise and aesthetic concerns. Looking ahead to 2026, Willis sees the industry entering a phase where AI demand becomes broader and more distributed, making regional markets indispensable. DartPoints plans to continue expanding through organic growth and targeted M&A while maintaining its focus on interconnection, high-density readiness, and rapid, community-aligned deployment. Tune in to hear how DartPoints is shaping the next chapter of distributed digital infrastructure—and why the market is finally moving toward the regional edge model Willis has championed.

MARA's Fred Thiel joins the Mining Pod to discuss the company's AI and HPC plans, bitcoin, and the future of edge computing. Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! Today, Fred Thiel, CEO and Chairman of MARA (formerly Marathon Digital Holdings), joins us to talk about MARA's strategic pivot toward AI and HPC infrastructure, the critical importance of energy ownership over PPAs, inference at the edge computing, MARA's partnerships with MPL and Exaion in Europe, and why Bitcoin's path to $1M will be harder than most think as the asset matures and institutionalizes. Notes:  • $1.4T AI spending planned over next 5 years • MARA owns energy vs paying PPAs for electrons • Many HPC contracts have strict delivery outs • Bitcoin no longer follows 4-year cycle pattern • 10% Bitcoin price change = $200B market move • MARA has ~250 employees currently Timestamps: 00:00 Start 04:05 Q3 look back 13:13 Inference at the edge 20:22 Sovereign cloud 27:13 MARA: hash cost vs hash price 29:33 Valuations not reflecting risk 33:22 MARA: value accretion 34:39 Operational deployment 37:07 Asset light vs hosting 41:47 Exaion deal 46:15 MPLX deal (natural gas ) 50:22 CapEx costs 50:53 MPLX deal structure 56:23 CTO & 2PIC 1:01:28 Share dilution 1:12:31 What are you reading?

Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! Today, Fred Thiel, CEO and Chairman of MARA (formerly Marathon Digital Holdings), joins us to talk about MARA's strategic pivot toward AI and HPC infrastructure, the critical importance of energy ownership over PPAs, inference at the edge computing, MARA's partnerships with MPL and Exaion in Europe, and why Bitcoin's path to $1M will be harder than most think as the asset matures and institutionalizes. Notes:  • $1.4T AI spending planned over next 5 years • MARA owns energy vs paying PPAs for electrons • Many HPC contracts have strict delivery outs • Bitcoin no longer follows 4-year cycle pattern • 10% Bitcoin price change = $200B market move • MARA has ~250 employees currently Timestamps: 00:00 Start 04:05 Q3 look back 13:13 Inference at the edge 20:22 Sovereign cloud 27:13 MARA: hash cost vs hash price 29:33 Valuations not reflecting risk 33:22 MARA: value accretion 34:39 Operational deployment 37:07 Asset light vs hosting 41:47 Exaion deal 46:15 MPLX deal (natural gas ) 50:22 CapEx costs 50:53 MPLX deal structure 56:23 CTO & 2PIC 1:01:28 Share dilution 1:12:31 What are you reading?

- Quantum-accelerated supercomputing - NVQLink, QCS, QEC - Tesla Intel collaboration? - Is the chip era ending? - SC25 offers new options for those impacted by US Government shutdown [audio mp3="https://orionx.net/wp-content/uploads/2025/11/HPCNB_20251110.mp3"][/audio] The post HPC News Bytes – 20251110 appeared first on OrionX.net.

Equal1 is proud to announce its selection by the European Space Agency (ESA) to install a cutting-edge Hybrid Quantum Computing (HQC) System for Earth Observation (EO). This landmark partnership will bring Equal1's advanced Bell-1 Quantum Computer to ESA, marking a significant leap forward in applying quantum technologies to critical space applications. This partnership was carried out as part of ESA FutureEO flagship programme- a driving force for innovation and excellence across satellite missions, Earth system science and Earth action, all in pursuit of a more sustainable and resilient future. The installation of HQC will be part of ESA ?-lab's Quantum Computing for Earth Observation (QC4EO) initiative and aims to leverage the unique capabilities of quantum systems to accelerate the processing of complex Earth Observation data structures. Equal1's innovative approach, utilizing silicon spin qubits fabricated in CMOS technology, offers a scalable and efficient solution to tackle some of the most challenging computational problems in space science. "We are incredibly excited to partner with the European Space Agency on this transformative project," said Jason Lynch, CEO of Equal1. "Our Bell-1 Quantum Computer, designed for seamless integration into existing HPC environments, is perfectly suited to augment ESA's capabilities. This collaboration underscores our shared vision of making quantum computing a powerful tool for accelerating complex data center workloads, especially in vital areas like Earth Observation." Revolutionising Earth Observation with Hybrid Quantum Computing Earth Observation generates vast amounts of data, essential for climate modelling, weather forecasting, disaster monitoring, and precise image analysis. Classical computing, while powerful, faces limitations in processing these increasingly complex datasets. Hybrid Quantum Computing, which combines the strengths of quantum processors with traditional High-Performance Computing (HPC), offers a promising pathway to overcome these challenges. Equal1's Bell-1 Quantum Computer, a 6-qubit system, will serve as the core quantum processing unit. Its rack-mounted design, integrated closed-cycle cryocooler, and low power consumption (1600 W) make it ideal for deployment within ESA's existing infrastructure. This integration will enable ESA scientists to explore quantum algorithms for applications such as Synthetic Aperture Radar (SAR) raw data processing and mission planning for satellite constellations, demonstrating theoretical and practical advantages over purely classical methods. "This is an exciting and significant moment for us at ESA's Earth Observation Programmes, marking a major advancement in our mission to monitor our planet," stated Simonetta Cheli, Director of ESA's Earth Observation Programmes and Head of ESRIN. "The complexities of Earth Observation data, from environmental monitoring to disaster response, require unprecedented processing power, and we are thrilled that this collaboration between Equal1 and ESA could pave the way for hosting the first quantum computer at ESA." Equal1's commitment to innovation extends beyond the current Bell-1 system. The design of this system will emphasise "plug-and-play" upgradeability, ensuring seamless integration of future Bell quantum servers. This forward-looking approach ensures ESA's investment is future-proof, allowing the HQC system to evolve with advancements in quantum technology. Future versions of Equal1's UNITY-Q chips will integrate both quantum and classical computing hardware on the same chip, potentially enabling novel features like real-time quantum error detection and correction. This continuous innovation will be crucial for unlocking the full potential of quantum computing for complex Earth Observation challenges. Equal1 brings a unique blend of technological innovation and deep expertise to this collaboration, making it an ideal partner for ESA's ambitious quantum computing goals. Equal...

David brought five stones with him as he faced Goliath. Pastor Mike Haman encourages us with the five stones that we can carry with us as our weapons of warfare.

Subscribe to the Bits + Bips newsletter: https://unchainedcrypto.com/newsletters/ Check out our sponsor Mantle!  As profitability tightens and competition soars, many Bitcoin mining companies are turning to artificial intelligence and high-performance computing (HPC) to stay relevant. In this week's Bits + Bips, host Steve Ehrlich sits down with John Todaro, Managing Director, Crypto & HPC/AI Equity Research at Needham & Company, and Kevin Dede, Senior Research Analyst at H.C. Wainwright, to unpack the pivot that's reshaping an entire corner of the crypto industry. They discuss how miners are courting AI clients, why Wall Street is suddenly valuing them like data infrastructure plays, and what this means for Bitcoin's long-term security model. The conversation dives deep into hashprice trends, investor signals, power constraints, and whether these companies can truly deliver on the AI promise — or risk stretching too thin. Guests: Kevin Dede, Senior Research AnalystManaging Director of Equity Research at H.C. Wainwright John Todaro, Managing Director, Crypto & HPC/AI Equity Research at Needham & CompanySenior Research Analyst at Needham & Company Timestamps:

In this heartfelt episode, Michal Renee dives into the fear of success and what it means to truly rest in the promise. She opens up about her personal journey of learning to sustain success through rest, consistency, and faith — not striving. Through real-time examples of how God is moving in Her Promise Circle, Michal reveals how obedience and surrender lead to expansion.She also announces two powerful new chapters in the HPC movement:

AWS Morning Brief for the week of November 3rd, with Corey Quinn. Links:Beyond pilots: A proven framework for scaling AI to productionNew Amazon CloudWatch metrics to monitor EC2 instances exceeding I/O performanceProcessing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefixWhat's the difference between AWS ParallelCluster and AWS Parallel Computing Service?France Télévisions prepared for 2024 Olympic Games with AWS Countdown PremiumAmazon Kinesis Data Streams now supports 10x larger record sizesAmazon DocumentDB (with MongoDB compatibility) announces upgraded query planner that can run queries up to 10x fasterAnnouncing AWS X-Ray SDKs/Daemon End-of-Support and OpenTelemetry MigrationAmazon S3 adds conditional write functionality to copy operationsIntroducing the Capacity Reservation Topology API for AI, ML, and HPC instance typesHow to deploy a SQL Server Failover Cluster Instance across three Availability Zones using Storage Spaces Direct Reduce CAPTCHAs for AI agents browsing the web with Web Bot Auth (Preview) in Amazon Bedrock AgentCore BrowserUsing Kubernetes Labels to Split and Track Application Costs on Amazon EKSIntroducing AWS Lambda event source mapping tools in the AWS Serverless MCP Server Split Cost Allocation Data for Amazon EKS supports Kubernetes labels

- New Exa-Class Supercomputers at DOE labs, HPE, AMD, NVIDIA, Oracle, - AI-RAN, Telecoms+AI, Nvidia+Nokia+partners - Intel+SambaNova ? [audio mp3="https://orionx.net/wp-content/uploads/2025/11/HPCNB_20251103.mp3"][/audio] The post HPC News Bytes – 20251103 appeared first on OrionX.net.

Pastor JT Terry teaches us to pick up our shovel and let our faith work as we wait on the Lord to move in our circumstances.

The Department of Energy's Oak Ridge National Laboratory (ORNL) has installed a Quantum Brilliance quantum computer system to advance hybrid quantum-classical computing. This collaboration aims to integrate quantum computing into classical high-performance computing (HPC) systems, enabling significant computational power gains. You can listen to all of the Quantum Minute episodes at https://QuantumMinute.com. The Quantum Minute is brought to you by Applied Quantum, a leading consultancy and solutions provider specializing in quantum computing, quantum cryptography, quantum communication, and quantum AI. Learn more at https://AppliedQuantum.com.

In this episode, we range from ice-cold mornings and sunny Colorado skies to a deep dive on home mining, heat reuse, open hardware, and sovereign home automation. We recap getting featured in Forbes on Heat Punk projects and how mainstream coverage is finally grokking mining-as-heat, Canon's heating-first designs, and Bitmain's market dominance risks. We share real-world progress: integrating Canaan home miners with Home Assistant via APIs and Node-RED, using Zigbee sensors for room-aware thermostatic control, solar and TOU-aware automations, and the vision for a sovereign “miner control hub” box built on Raspberry Pi 5. We get nerdy on RISC‑V vs ARM, open firmware, and the Libre Board + Mujina roadmap, with detours through customs-destroyed SMD parts, packaging HydroPool for Docker, and the power of public, self-hosted pools after a solo-Block win with a NerdQAX. We also cover privacy and the surveillance creep: doorbells, cars, app signing, and why self-hosted tools (Pi-hole, PFsense, Mullvad, Signal, Proton/Tutanota) matter. We discuss HPC pivots by large miners, grid vs. heat-reuse economics, Canaan's momentum in home heating, and the imminent Telehash on HydroPool with StartOS packaging on deck. Plus, the Stealth Miner enclosure, Bitaxe-powered heat projects, and shoutouts to the open-source crew making sovereignty practical at home, one sensor, miner, and Docker container at a time.

In this episode of The Data Center Frontier Show, DCF Editor-in-Chief Matt Vincent talks with Yuval Boger, Chief Commercial Officer at QuEra Computing, about the fast-evolving intersection of quantum and AI-accelerated supercomputing. QuEra, a Boston-based pioneer in neutral-atom quantum computers, recently expanded its $230 million funding round with new investment from NVentures (NVIDIA's venture arm) and announced a Nature-published breakthrough in algorithmic fault tolerance that dramatically cuts runtime overhead for error-corrected quantum algorithms. Boger explains how QuEra's systems, operating at room temperature and using identical rubidium atoms as qubits, offer scalable, power-efficient performance for HPC and cloud environments. He details the company's collaborations with NVIDIA, AWS, and global supercomputing centers integrating quantum processors alongside GPUs, and outlines why neutral-atom architectures could soon deliver practical, fault-tolerant quantum advantage. Listen as Boger discusses QuEra's technology roadmap, market position, and the coming inflection point where hybrid quantum-classical systems move from the lab into the data center mainstream.

Infrastructure systems around the world are under strain — from roads and bridges to power and water networks. Host Angie Dickson, President of the Inogen Alliance and EVP of Antea Group USA, is joined by Chris Perks, Sector Director of Transportation at Tonkin + Taylor in New Zealand, and Thomas Noack, VP of International Business at HPC in Germany. Together, they explore new funding models, sustainable design, and the growing role of private-sector innovation in building infrastructure that lasts.  Guest Quotes“Everybody in the infrastructure sector in New Zealand feels a great responsibility and a privilege to maintain the beauty and the environmental benefit of the country while still improving our infrastructure.” – Chris“Europe wants to be climate neutral in 2050. This means we have huge investments necessary for energy, roads, logistics, and digitalization.” – Thomas  Time Stamps 02:40 Funding Models and the Role of Public-Private Partnerships06:10 Innovation and Whole-of-Life Thinking in Infrastructure07:45 Sustainability and Environmental Responsibility in New Zealand11:20 How Tonkin + Taylor Embeds Environmental Values in Practice14:00 Policy, Technology, and Mindset Shifts for the Future18:30 Infrastructure Challenges Across Europe22:50 EU Investment and Regional Development26:10 Environmental Permitting and Smart Planning30:15 Sustainability Certifications and Material Choices33:20 The Future of Infrastructure and Global Collaboration  Sponsor CopyRethinking EHS is brought to you by the Inogen Alliance. Inogen Alliance is a global network of 70+ companies providing environment, health, safety, and sustainability services, working together to provide one point of contact to guide multinational organizations to meet their global commitments locally. Visit inogenalliance.com to learn more.  LinksInogenalliance.com/resources Inogenalliance.com/podcastAngie on LinkedInChris on LinkedInThomas on LinkedIn Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In the final installment of the “Sneaky Sins” series, Pastor Mike Haman encourages us to live with contentment and within the boundaries God has for us so that we can walk in His purposes for our lives.

Scripture tells us that out of the abundance of the heart the mouth speaks. Pastor Mike Haman continues in the “Sneaky Sins” series as he discusses the power and implications of the words we speak.

JPMorgan analysts weigh in on price targets for IREN, CLSK, MARA, RIOT, and CIFR in a recent research note. Click Here To Join the BitAxe Giveaway! Welcome back to The Mining Pod! Today, Will and Colin dive into JPMorgan's latest research report on Bitcoin mining stocks pivoting to AI and HPC. We analyze JPMorgan's IREN price target, break down the economics of co-location vs cloud services, and examine potential upside for Cipher, Riot, Clean Spark, and MARA. **Notes:** • IREN target • Sweetwater needs 1GW+ deal to justify valuation • Co-location: $3.7-8.6M/MW vs cloud: $5.3M/MW • IREN expanding to 23,000 GPUs by Q1 2026 • Cipher EV/revenue at 31.9x vs IREN at 12.9x • Core Scientific sets co-location benchmark Timestamps: 00:00 Start 02:43 Mining stocks ripping 06:26 Core Scientific benchmark for AI pivot 15:34 Cleanspark Ad 16:05 IREN 27:06 Valuation models

It's that time again - the 2025 Hobby Progress Challenge is here, and we're diving headfirst into all the details on this episode. Chelle, Adan, and Carl sit down to go over the rules of this year's challenge, how it's tracked, and what makes it such a fun and motivating way to tackle that pile of shame. Whether you're painting for glory in the Emperor's name or fueled by the whispers of Chaos, the HPC is your chance to stay focused, productive, and inspired all year long. We'll also hear directly from our community. Listeners who took part in last year's challenge share how the HPC helped them hit their goals, what they learned along the way, and what they're looking forward to this time around. Their stories remind us that while prizes and painted models are great, it's the camaraderie and encouragement that truly keep the brush moving month after month. Of course, we'll be talking about the prize support too - because what's a challenge without a few epic rewards along the way? With fantastic sponsors stepping up again this year, every month of progress not only builds your army but also earns you entries into our prize drawings. The 2025 Hobby Progress Challenge officially kicked off on September 1st, but it's never too late to join in. Tune in October 1st to hear how it all works, get inspired by your fellow hobbyists, and take the plunge into a year of painting, progress, and shared passion for Warhammer 40K. Time Stamps: 0:00:00 - Show Intro, Elite Choice, Hobby Progress, and Games Played 0:25:20 - The 2025 Hobby Progress Challenge - Pt1 1:05:45 - The 2025 Hobby Progress Challenge - Pt2 1:25:30 - Final Discussion and Show Closing Relevant Links: The Independent Characters Patreon Tablewar! - SPONSOR Herrick Games & Hobbies - SPONSOR Goonhammer Media Network Adepticon Games Workshop The Black Library