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

Zenn (AI)Japan

OllamaのVRAM解放を実測で確認：keep_aliveとollama psの基本

10.23

はじめに Ollamaでモデルを一度でも走らせると、そのモデルは一定時間GPUメモリ（VRAM）に載ったままになる。動画編集やゲームなど、GPUを他の用途に使いたいときに「いつ解放されるのか」「すぐ解放するにはどうするのか」が気になったので、keep_alive の挙動を実測で確かめた。環境 Windows 11（ビルド 10.0.26200） Ollama 0.40.4（公式アプリ。

Open weights Chips & compute

Read at Zenn (AI) ↗

One letter a week, starting soon.

Latest

OllamaのVRAM解放を実測で確認：keep_aliveとollama psの基本

Related

ToolsvLLM Delivers Day-0 Support for MiniMax-M3.1-Flash vLLM Blog

AsiaDeepSeek open-sources inference framework with support for Nvidia and Huawei chips TechNode

GitHubDeepSeek open-sources the inference engine behind its API. And Huawei gets equal billing with Nvidia. The New Stack

LabsHugging Face ❤️ TorchTPU: TPUs, Natively Hugging Face Blog

ToolsIntroducing vLLM TorchTPU vLLM Blog

Open source and on device: the strategy behind Nvidia’s new AI models AI Business