> For the complete documentation index, see [llms.txt](https://docs.algenta.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.algenta.ai/gpu-and-llm-inference.md).

# GPU & LLM inference

- [Metal LLM decode](https://docs.algenta.ai/gpu-and-llm-inference/qwen3-metal-decode.md): Greedy decode on Apple Silicon through the int8 Metal GPU kernel path — call surface, checkpoint preparation, refusals, verification. Currently tested on Qwen3 models.
- [Model support matrix](https://docs.algenta.ai/gpu-and-llm-inference/model-support-matrix.md): Model support as declared fact ranges — the capability table, the conform CLI, conformance-proven models, and the typed-refusal boundary.
- [GPU support](https://docs.algenta.ai/gpu-and-llm-inference/gpu-support.md): GPU backend support matrix — Metal (default serve path), NVIDIA CUDA (hardware-verified kernel layer and LLM session), ROCm status, and per-lane requirements.
- [CUDA backend](https://docs.algenta.ai/gpu-and-llm-inference/cuda-backend.md): Run the CUDA backend — availability, NVIDIA driver and architecture requirements, the callable entry points, determinism gates, verified model shapes, and the TypeScript SDK path.


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