Okteto AI's "Agent Fleet" feature is specifically designed to address parallel testing needs:
- exist
okteto.ymlDefine multiple agent tasks, each corresponding to a model variant in the - (of a computer) run
okteto deploy --fleetStarting a Parallel Test Cluster - The platform automatically allocates isolated environments and supports dynamic GPU resource scheduling
- Each agent runs tests and generates reports independently, and progress can be monitored in real time via the Admin Dashboard.
- Automatic generation of Pull Requests and visualization of comparison results after test completion
Typical example: Data scientists can test 10 different hyper-parameterized Transformer models at the same time, reducing testing time to 1/5th of a single thread.
This answer comes from the articleOkteto AI: A Cloud Development Platform for Running Trusted AI AgentsThe
May not be reproduced without permission:AI productivity tools " How to quickly implement multiple AI agents to test different model variants in parallel?
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