SGLang workspace

SSH workspace with SGLang installed for serving and benchmarking.

PublishedociLLM inference

Needs 15 GiB of GPU memory · CUDA on NVIDIA

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New machines appear as hosts connect them.

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Doesn't fit (4)

1× Apple M5 Max (40-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 Pro (20-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 · New hostno inference runtime for this machine's backend1× Apple M1 Pro (14-core GPU) · New hostno inference runtime for this machine's backend

Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 16 GB
Backend: Set by the machine you pick
Version: sglang-workspace-v1.0.0
Image digest: 87c573f503b4…
Health check: SSH probe on the leased endpoint

We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.

#llm #sglang #workspace

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