MLOps Academy · Lesson

Why GPUs Need Batching

Keep the GPU busy by grouping requests.

A GPU Is a Wide Machine

A GPU has thousands of cores built to do the same math on many items at once. Feed it one input and almost all of those cores sit idle. 🐢

One Request Wastes It

Serving a single prediction per call barely touches the hardware. The GPU spends more time waiting than computing, so your expensive card is mostly idle.

All lessons in this course

  1. Why GPUs Need Batching
  2. Configure Dynamic Batching in Triton
  3. Run Multiple Model Instances per GPU
  4. Profile and Tune Inference Latency
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