Databricks creates system for specialized GPU kernel generation
Databricks introduced Proteus, a system that automatically designs custom GPU kernels—specialized code blocks for running AI models—to match specific tasks on the fly. In early tests with the Qwen 3.5 122B language model, these custom kernels ran between 1.8 and 5.2 times faster than the top existing options. Proteus uses a rigorous process to generate, evaluate, and refine kernels, aiming for both extreme efficiency and fairness in benchmarking.
- Proteus creates custom GPU kernels tailored to each request
- Custom kernels ran up to 5.2× faster than vLLM's best
- Rigorous validation steps prevent benchmark gaming
- Initial focus was on accurate measurement, not code generation
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