The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around two hundred sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo

← Accept All Archive

NVIDIA Technical BlogSilicon

Validating GPU Platforms with Runtime AI Inventory via the NVIDIA DSX AI Factory

11.11

As teams deploy and scale AI workloads using NVIDIA Dynamo, Kubeflow, or Slurm, tracking what actually runs requires visibility beyond the platform...

Chips & compute Languages & runtimes Agentic AI / Generative AI Data Center / Cloud Developer Tools & Techniques DSX

Read at NVIDIA Technical Blog ↗

One letter a week, starting soon.

Latest

Validating GPU Platforms with Runtime AI Inventory via the NVIDIA DSX AI Factory

Related

SiliconBuild a Validated Kubernetes Runtime for NVIDIA Dynamo NVIDIA Technical Blog

LabsHow We Built TLX: A Hardware-Native GPU Compiler for Production ML at Scale Meta Engineering

SiliconDatacenter Systems Spending To Go Through The Roof In 2027 The Next Platform

LanguagesSwift on the GPU Swift Forums announcements

SiliconRunning AV Reasoning Models Within Onboard Compute and Latency Limits NVIDIA Technical Blog

SiliconStart and Restore GPU Workloads in Seconds with NVIDIA Snapshot NVIDIA Technical Blog