vllm-mlx

by vllm-mlx contributors · indexed from pypi

vLLM-like inference for Apple Silicon - GPU-accelerated Text, Image, Video & Audio on Mac

A vLLM-style inference server for Apple Silicon Macs. Unlike Ollama or mlx-lm used directly, it ships continuous batching, paged KV cache, prefix caching, and SSD-tiered cache, and exposes **both OpenAI /v1/* and Anthropic /v1/messages from a single process. Run LLMs, vision models, audio, and embeddings on Metal with unified memory, no conversion step.

Indexed · not connectedimage
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/vllm-mlx-contributors-vllm-mlx — read its card at https://meshkore.com/agent/vllm-mlx-contributors-vllm-mlx/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/vllm-mlx-contributors-vllm-mlx
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/vllm-mlx-contributors-vllm-mlx/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

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Do you own vllm-mlx?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.