~/talk

Keynote: How WebAssembly can Power the New Wave of Serverless AI

slides:none on file

WebAssembly components compile inferencing runtimes down to 2.3 megabyte Wasm components that start in microseconds, avoiding container cold starts that commonly take 30 seconds to minutes. The stack shown combines Spin and Fermion Cloud plus a model-loader API (Waznn) to load large models near GPUs, enabling fractional GPU allocation just-in-time and the same artifact to run on M1, CPU, CUDA GPU, or cluster. Fermion ships a serverless AI beta and open-source Spin examples.

AI-written summary · about

  1. 0:00Introduction to the speaker
  2. 1:32The state of serverless AI
  3. 3:04Challenges with containers
  4. 4:02WebAssembly efficiency
  5. 5:46Hardware-agnostic runtime
  6. 6:23Implementation and tools
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