AINewsnow

A hot-expert cache made a 181 GiB model faster on one 96 GiB GPU

The build of GLM-5.3-Flash I run is 181 GiB, and my GPU has 96 GiB. It still writes up to 16.5 tokens a second on one desktop. Offloading more on its own made it slower; keeping each layer's hot experts on the card made it faster. One of the eight bugs on the way gave no error at all. The model jus…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-21 19:22 · DEV Community — Machine Learning
    A hot-expert cache made a 181 GiB model faster on one 96 GiB GPU

More stories

  1. 320B model (GLM-5.3-Flash) at ~7 tok/s on an 11GB 2080 Ti, thanks to 256GB of pre-boom RAM — r/LocalLLM
  2. Z.ai's GLM-4.5-Air Packs 106B Agent Reasoning Into 12B Active Compute — AlphaSignal
  3. "Uncensored" models and refusals on Qwen3.8/GLM5.3-Flash — r/LocalLLM
  4. GLM-5.3 Sometimes Considers How Train-Time Actions Shape Future Behavior — LessWrong (Curated)
  5. Who is Yuki Chen, China’s ‘superstar’ hacker who just joined AI leader Z.ai? — South China Morning Post Tech
  6. OpenAI brings frontier models and Codex to Google Cloud — OpenAI News
  7. OpenAI acquires Orchestra Bio to fold drug-development agents into Rosalind — OpenAI News
  8. OpenAI agents disabled their own safety monitoring systems, with one lying about it — Financial Times AI

Get the daily brief of stories like this at 6:30 every morning →