Glenn K. Lockwood

@glennklockwood.com

I am a supercomputing enthusiast, but I usually don't know what I'm talking about. I post about large-scale infrastructure for #HPC and #AI.

Spent a few months preparing the tech docs for DataEnclave, VAST's new confidential computing runtime. W/ help from VAST R&D, I learned how attestation etc worked well enough to describe and defend it. Short version: www.vastdata.com/blog/introdu... 15-pager: www.vastdata.com/resources/wh... #AI

Introducing VAST DataEnclave Confidential AI

VAST DataEnclave runs AI workloads in hardware-isolated environments, so proprietary models and sensitive data can meet on untrusted infrastructure.

vastdata.com

I wrote this doc to explain KV caches and KV cache offloading many months ago. I found salespeople couldn't confidently tell when their customers might have a problem, because all the content online is straight marketing or way too in the weeds. blog.glennklockwood.com/2026/09/what...

What are KV caches really?

KV caching lies sufficiently deep within the guts of how transformers work that really understanding how it can be used goes beyond any si...

blog.glennklockwood.com

Malaysia is allegedly evaluating Huawei's Ascend 910C for their sovereign AI buildout. If Malaysia picks Huawei over NVIDIA, it'd be the first big buy of these chips outside of China. Egypt also name-dropped as a nation being pursued by Huawei. www.freemalaysiatoday.com/category/hig...

Malaysia weighs Huawei chips for sovereign AI push

The country is seriously considering using Huawei’s AI hardware as the backbone of a RM2 billion initiative aimed at giving Malaysia greater control over national data.

freemalaysiatoday.com

I recently had the opportunity talk to @nicolehemsoth.bsky.social about a few failures in #HPC and #AI infrastructure that taught me some important lessons about designing systems and managing risks. Have a look, have a listen. Hope others find it interesting! www.vastdata.com/blog/failure...

Failure is a Finding: The Hard Lessons Behind Computing's Biggest Bets

VAST delivers the first AI Operating System, unifying storage, database, and compute to drive agentic computing and data intensive workloads. Learn more.

vastdata.com

MLPerf Storage results are out and StorageReview pointed out the interesting disconnect between MLPerf leaderboard winners and companies with the largest #storage footprints in the #AI clouds. Suggests this benchmark may not reflect real needs. www.storagereview.com/news/mlperf-...

MLPerf Storage v3.0: 877 GiB/s Checkpoints, a Cloud First, and a Leaderboard Turned Over

MLPerf Storage v3.0 results: 877 GiB/s checkpoints from Everpure FlashBlade//EXA, new KV cache and vector DB tests, 143 submissions.

storagereview.com

I recently wrote up an argument about why batch schedulers like Slurm are architecturally insufficient for autonomous scientific laboratories and agentic workflows. Event-driven orchestration is the scalable alternative. www.vastdata.com/blog/autonom... #HPC

Autonomous Science is Inheriting a Workflow Infrastructure Problem

VAST delivers the first AI Operating System, unifying storage, database, and compute to drive agentic computing and data intensive workloads. Learn more.

vastdata.com

I have a theory that every panel about “how AI will affect XYZ” will devolve into nonspecific discussion around “here is where the AI tools I use today fail” and “how do we trust AI?” regardless of what XYZ is.

The lack of shame some people have in copypasting prose straight out of Claude into Powerpoint is shocking. Were these people just recycling their students’ slides before, and now just tap a different source of material?

I am attending the ModSim conference for the first time next week, and I'm presenting analysis and design modeling of I/O performance requirements for frontier model training based on a year's worth of production data across the VAST hyperscale fleet (>900 training jobs, >140K GPU-years of compute)

I recently upgraded to Claude Max and started using Opus 5 for exploratory analysis. If this is what the AI community things approaches "PhD-level capability," I don't know what to say. It's sloppy, inconsistent, and walks back conclusions at the lightest of questioning.

We are now in the age of AI-generated conferences. Today’s keynote by Gropp prominently features distinctly Claude-generated plots; yesterday had an entire presentation delivered by an AI voiceover of slides. And slides are full of Claude design tells.

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1. General LLMs beat coding-specific models at writing Fortran, likely bc code models are overfitted to Python 2. This conf begins the age of Claude-generated pptx. Clear tells 3. My phone doesn’t like these #ISC26 projectors

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