The author introduces Orchard Compute, a tool designed to automate the infrastructure aspects of model training. By connecting through the Model Context Protocol (MCP), users can describe their requirements in natural language to handle compute selection and environment provisioning.

  • Orchestrates GPU provider selection and provisioning based on budget constraints.
  • Automates the preparation of the training environment to eliminate manual configuration steps.
  • Allows users to specify tasks like fine-tuning models via simple one-sentence prompts.

The author is seeking feedback from individuals who actively train or fine-tune models to identify potential issues with the tool.