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ML Infrastructure & Distributed Systems

Develop cost-efficient ML infrastructure (GPU orchestration, async processing, pipelines) to reduce compute costs and improve scalability.

Deliverables

  • Distributed inference
  • GPU orchestration
  • Async processing
  • Monitoring

Technologies

DockerRedisGCP