• Control Plane is the Helix API, web interface, and postgres database and requires:

    • Linux, macOS or Windows
    • Docker
    • 4 CPUs, 8GB RAM and 50GB+ free disk space

  • Inference Provider requires one of:

    • An NVIDIA GPU if you want to use private Helix Runners (example), or
    • Ollama running locally on macOS, Linux or Windows (example), or
    • An OpenAI-compatible API provider, such as TogetherAI (example) - we like TogetherAI because you can run the same open source models via their API that you can run locally using Helix GPU Runners, but you can use any OpenAI-compatible API (e.g. vLLM, Azure OpenAI, Gemini etc)

  • Private Helix Runners require:

    • As much system memory as you have GPU memory
    • Min 8GB GPU for small models (Llama3-8B, Phi3-Mini), 24GB for Mixtral/SDXL, 40GB for Llama3-70B
    • Min 24GB GPU for fine-tuning (text or image)
    • Recommend 2x24GB GPUs for e.g. text & image inference in parallel
    • NVIDIA 3090s, A6000s are typically good price/performance
    • 100GB+ of free disk space

  • A fast internet connection (llamaindex container is about 11GB, small runner image is 23GB)