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 a hundred and forty 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

TechNodeAsia

Nvidia’s China AI-chip share falls to 34% as Huawei reaches 28%

10.14

Nvidia’s share of China’s data-center AI accelerator market fell to 34% in the first half of 2026, while Huawei reached 28%, according to an IDC report seen by Reuters.

Chips & compute

Read at TechNode ↗

One letter a week, starting soon.

Latest

Nvidia’s China AI-chip share falls to 34% as Huawei reaches 28%

Related

AsiaAI inference-chip startup SUNMMIO completes Pre-A2 and Series A funding TechNode

SiliconNVIDIA Announces New Investments in the UK Startup Ecosystem NVIDIA Blog

SiliconNVIDIA Commits $250 Million to Advance UK Agentic Safety and Security Research Over the Next Five Years NVIDIA Newsroom

SiliconEuropean Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations NVIDIA Blog

SiliconHow to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents NVIDIA Technical Blog

LabsMeta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI Meta Engineering