Day 9 product-map page ยท Updated 2026-06-06

Odysseus GPU Cookbook: VRAM, Models, CUDA and Apple Silicon

Keep hardware users from confusing app startup, Docker passthrough and model serving failures.

$99 GPU Triage + $299 Model Setup Official GitHub

Independent guide. Unofficial. Verify commands against the official Odysseus sources before running them.

Day 9

Odysseus GPU cookbook action map

Odysseus GPU Cookbook guide for VRAM fit, Apple Silicon, Windows, Linux, CUDA, ROCm, Ollama fallback, llama.cpp and vLLM troubleshooting.

Odysseus GPU cookbook

Hardware fit

  • Cookbook recommendations are only useful after the app can see the machine clearly.
  • VRAM decides model size and quantization path more than the Odysseus web UI itself.
  • CPU fallback can work for small tests but disappoint users expecting fast local agents.
Odysseus GPU cookbook

Platform split

  • Apple Silicon users should prefer native macOS when they need Metal acceleration.
  • Windows users often start with Ollama before advanced CUDA, vLLM or WSL2 workflows.
  • Linux GPU users must separate Docker device passthrough from CUDA or ROCm runtime readiness.
Odysseus GPU cookbook

Debug order

  • First prove Odysseus starts.
  • Then prove one small model responds.
  • Only then debug Cookbook serving, GPU acceleration and larger models.

Sources

Useful source map

Use these current sources to cross-check videos, community claims and official setup details before changing your machine.

External source

Official GPU and Cookbook notes

README includes GPU passthrough, CUDA, ROCm, Apple Silicon and Cookbook troubleshooting notes.

Open source

External source

Official demo feature page

Visual product framing for Cookbook and local model workflows.

Open source

Paid next step

$99 GPU Triage + $299 Model Setup

Use paid help when the blocker is named and the saved time is worth more than another hour of guessing.

Open setup request form