A brave stake in the ground that defines what is (and isn’t) a parallel file system. I generally agree with Chris’ explanation. But I’m sure he’ll get hate from parallel storage elitists who don’t like how inclusive his take is.

DOE to build an integrated discovery platform by linking together #supercomputers and other facilities at its 17 National Laboratories with industry and academia drawing on the expertise of roughly 40,000 scientists, engineers, and technical staff. www.theregister.com/2025/11/25/t...

NVIDIA will introduce liquid-cooled busbars into the racks for its Vera Rubin platform, part of a broader evolution of data center racks and power design to support more powerful AI computing. open.substack.com/pub/datacent...

Intel: We’re simplifying the Diamond Rapids platform with a focus on 16 Channel processors and extending its benefits down the stack to support a range of unique customers and their use cases. (Source: Intel Spokesperson to STH) www.servethehome.com/intel-cancel... @servethehome.com.web.brid.gy

Silly thread for a Saturday: some of the #HPC clusters I’ve worked on over the years. First up is Cielo, a Cray XE6 I worked on at LANL! Which might actually be the prettiest supercomputer I’ve worked on.

A random interesting fact about the Cray XE6 racks: air exhausted up from the top of the rack! The result was that the lights above Cielo all started failing over time due to being blasted with hot air. And no good way to access them due to the size of the cluster. Clearly an early photo 😁

Exclusive: Amazon.com is joining Microsoft in supporting legislation that threatens to further limit Nvidia’s ability to export to China, a rare split between the chip designer and two of its biggest customers.

Exclusive: Samsung hikes memory chip prices by up to 60% as shortage worsens, sources say reut.rs/49QjvFI

Very nice overview of the emerging UALink standard with nice features such as splitting packets in switches, in-network computing, high energy efficiency, and lowest silicon overhead: buff.ly/AgLvC1g I'll be joining a panel at SC25 contrasting UALink and UEC next Wed: buff.ly/BeCMFcL Join us there

DARPA’s Next-Generation Microelectronics Manufacturing (NGMM) program is building a packaging plant in Austin that is dedicated to 3D heterogeneous integration (3DHI). spectrum.ieee.org/3d-heterogen... @spectrum.ieee.org @darpa.mil

If you can read an analog clock correctly, you are still outperforming #AI in that regard. spectrum.ieee.org/large-langua... @spectrum.ieee.org

Uhm, there is a typo in the headline, remove the "s" from insane. That should fix it.

Paderborn's new Otus #supercomputer features 142,656 processor cores, including AMD “Turin” and #Nvidia H100 #GPUs, and 5PB of storage managed with IBM Spectrum Scale (formerly GPFS) file system. ow.ly/mnlX50XqGAs

Andrew Ng: #AI has stark limitations, and despite rapid improvements, it will remain limited compared to humans for a long time. #AI is amazing, but it has unfortunately been hyped up to be even more amazing than it is. www.deeplearning.ai/the-batch/is...

Europe takes a major step in research connectivity! A new terabit network will link supercomputers across the continent, including EuroHPC’s @lumi-supercomputer.eu located in CSC’s data center in Kajaani 🚀 🔗 csc.fi/en/news/tera...

Are 2030 AI hyperscalars capital constrained, power constrained, DRAM constrained, flash constrained, compute constrained, software constrained, or :-) demand constrained?

Racks filled with GPUs and liquid cooling gear can now weigh 6,000 pounds or more, requiring new approaches to address human safety and investment protection. Google, Meta, and Microsoft are turning to robotics to safely move these huge racks. open.substack.com/pub/datacent...

Scammers have a new way of getting into your pockets: by targeting your #AI assistant. They use prompt engineering, embedding code in emails that trick AI tools into taking malicious actions. Learn how to protect your digital presence. spectrum.ieee.org/ai-agent-phi...

Can we build an #AI #Climate Scientist? Asked at the ADIA Lab Symposium in Abu Dhabi last week - now online at buff.ly/6igSeyg :-). Much work to be done - this is outlining some directions of indicative results with a lot of potential to accelerate AI for Science.

AI excels in complex tasks but falters at reading analog clocks—what does this tell us about its limitations?

Nvidia's biggest scale up domain is 72 GPUs. Google's is 9,216 TPUs. Historically TPUs have trailed on FLOPS, memory, & bandwidth. That's no longer the case with Ironwood. Google has a Blackwell-class TPU with absurd scale. More on @theregister.com ⬇️ www.theregister.com/2025/11/06/g...

Exclusive: Intel is losing a data center AI executive who previously helped lead the company’s Gaudi accelerator chip efforts and is now headed for a job at AMD, CRN has learned. www.crn.com/news/compone...

Collaborator and friend Dan Alistarh talks at ETH about using the new NvFP4 and MXFP4 block formats for inference. Some going from "terrible" accuracy to acceptable using micro rotations to smoothen outliers in blocks. arxiv.org/abs/2509.23202 Great collaboration and cool stuff

Google recently posted a promo for using their managed Lustre service to accelerate inferencing via KV caching. Raises questions: 1. What ever happened to Google Managed DAOS (ParallelStore)? It performs better than Lustre. 2. Does Gemini use this? Unlikely. See glennklockwood.com/garden/atten...

OpenAI spreads the imaginary wealth beyond Microsoft with $38B AWS deal Amazon deal still dwarfed by $250B Azure commitment made as part of OpenAI's for-profit transformation www.theregister.com/2025/11/03/o...

Silicon Valley’s biggest companies are already planning to pour $400 billion into artificial intelligence efforts this year. They all say it’s nowhere near enough.

The largest hyperscale operators say demand for AI services is filling data centers as fast as they can build them, with several saying they are compute-constrained. As a result, they expect to build even more data center space in 2026. datacenterrichness.substack.com/p/hyperscale...

Each time a new AI training benchmark is introduced, the fastest training time gets longer. Then, hardware improvements gradually bring the execution time down, only to get thwarted again by the next benchmark. Then the cycle repeats itself.

Diamond Blankets Will Keep Future Chips Cool Growing a micrometers-thick layer of diamond inside advanced chips spreads out the heat and drops the temperature more than 50°C. spectrum.ieee.org/diamond-ther... @spectrum.ieee.org

John Shalf @cs.lbl.gov to receive the 2025 IEEE Seymour Cray Computer Engineering Award www.computer.org/profiles/joh... #SC25 #HPC

NVIDIA and Oracle to Build US Department of Energy’s Largest AI Supercomputer for Scientific Discovery nvidianews.nvidia.com/news/nvidia-...

Nvidia made history as the first company to reach $5 trillion in market value, powered by a stunning rally that has cemented its place at the center of the global AI boom reut.rs/48SKEHH

#OTD in #ComputingHistory in 1969, the first message was sent over what would become the Internet. That brief, two-letter message marked the beginning of networked communication as we know it today. Read more: www.acm.org/education/ot...

Electrifying everything will require simulations that can model several physics events at once, like thermal issues, acoustics, and structural physics. This multiphysics simulation is powering better models of the power grid. spectrum.ieee.org/multiphysics...

Nvidia is poised to become the first company to hit $5 trillion in market value, the latest milestone that reflects the growing influence of artificial intelligence.

Yes, but my point was more: is it physically at Argonne? or does the definition of Argonne expand to include a hypothetical new “Argonne East” which is on some contaminated land (near power) that DOE will lease to OCI?

DOE is partnering with Nvidia and Oracle to build 7 new AI supercomputers to accelerate scientific research and develop agentic AI for discovery. Two of these systems at Argonne, will together form the DOE's largest AI supercomputing infrastructure. www.theregister.com/2025/10/28/n...

⚛️ US Department of Energy Advances Nuclear Program for AI Data Centers The agency is opening up its Oak Ridge Reservation in Tennessee for the private development of AI data centers with on-site power generation. Read more ▶️ www.datacenterknowledge.com/energy-power...

HPE's Discovery to succeed Frontier supercomputer with next-gen Cray tech

👀 ICYMI: Exciting news from #ORNL today, not one but two supercomputers headed our way...! ⚡️⚡️ Read more about #OLCF 's #Discovery and #Lux supercomputers here 👉 www.olcf.ornl.gov/2025/10/27/o... And check out this video for a hashtag#Discovery sneak peek 🤩: vimeo.com/1130587062 #HPC #AI

Latest ORNL Discovery #supercomputer gets #DAOS #storage option blocksandfiles.com/2025/10/27/l...

AMD has made U.S. electronics services giant Sanmina a new product introduction manufacturing partner for its cloud rack and cluster-scale AI solutions after selling its ZT Systems manufacturing business to the partner company. www.crn.com/news/data-ce...

US DOE forms $1 billion #supercomputer and #AI partnership with AMD - Lux supercomputer to come online in six months - Discovery supercomputer to be ready in 2029 HPE & ORNL also part of this www.reuters.com/business/ene...

New, long, oral history of Ken Thompson, my and everyone's hero. From the Computer History Museum: computerhistory.org/... Click thru a while to get a text transcript.

Generative AI is barely five years old, but #storage requirements are changing rapidly as organizations seek to build scalable data foundations to get #AI apps from model training into production. www.hpcwire.com/2025/10/20/t...

Meta is cutting around 600 roles in AI unit, Axios reports reut.rs/4opgmAI

So I realize I’ve reposted this all day, but I cannot understate the scale of this story. If Anthropic is spending this much on Google Cloud - or even 25% - the costs of running their business are never coming down. It’s a huge scoop, and the first real discussion of the true costs of AI anywhere.

🌍🌐 𝐀𝐈 𝐟𝐨𝐫 𝐰𝐞𝐚𝐭𝐡𝐞𝐫 𝐚𝐧𝐝 𝐜𝐥𝐢𝐦𝐚𝐭𝐞 𝐩𝐫𝐞𝐩𝐚𝐫𝐞𝐝𝐧𝐞𝐬𝐬. In early October, leaders from across Europe gathered in Brussels to discuss how AI is opening new possibilities to strengthen Europe’s capacity to anticipate, prepare for, and respond to weather and climate extremes. ➡️ destine.ecmwf.int/news/ai-for-...

Configuring optimal #HPC clusters is easy with #Google Cluster Toolkit, an infrastructure-as-code approach with lots of pre-made blueprints. Watch Google's Ilias Katsardis explain online Tuesday Oct 22 at 9am PT/noon ET. sites.google.com/view/advance...

Nvidia still needs Taiwan even as TSMC ramps Blackwell production in Arizona