AINewsnow

Continuous Batching: Why Your GPU Waits for the Slowest Request

When a language model serves more than one user, the requests never finish together. One person asks a yes-or-no question and gets three tokens back. The next asks for a function and gets two thousand. If the server runs them as one fixed batch, the GPU keeps working on the short request after it i…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-11-11 16:14 · DEV Community — Machine Learning
    Continuous Batching: Why Your GPU Waits for the Slowest Request

More stories

  1. Google DeepMind launches Gemini Robotics 2.5, reports 96% success in Mercedes-Benz factory test — Google DeepMind Blog
  2. Nvidia faces shareholder suit and internal probe over CEO's ties to alleged Chinese spy — CSET Georgetown
  3. Anthropic IPO said to be multiple times oversubscribed as it targets $1.4 trillion valuation — CNBC Technology
  4. Google Labs launches Tabletop, a collaborative planning experiment — Google AI Blog
  5. Nvidia spy scandal exposes Singapore networks channeling AI chips to China — New York Times AI
  6. OpenAI's quarterly revenue crosses $10 billion as operating losses widen — The Information AI
  7. OpenAI launches Businesses in ChatGPT beta with verified profiles and Business Agents — OpenAI News
  8. CoreWeave beats Q3 revenue estimates, rules out new unsecured debt through 2027 — The Globe and Mail

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