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Remote MCP for RunComfy: ComfyUI deployments, hosted models, LoRA training. 31 tools.
Can I run it? An MCP server and TypeScript library that check whether an open LLM fits your GPU: VRAM, KV cache, speed ceilings and what fits instead, with nodegrove.io's math.
GPU-accelerated Linux desktops in Docker/WSL2 for AI agents and humans, featuring a built-in 60-tool MCP server and browser access.
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk
Run Colab notebooks in ChatGPT using your own Colab compute credits. Let your dot run Python through MCP with your private backend.
Self-tuning, disposable Docker sandboxes for AI agents. Runs code in locked-down containers sized to your hardware, with GPU sharing, crash cleanup, a CLI, a Python API and an MCP server for Claude.
GPU job orchestration across local, remote and cloud machines: capability-aware scheduling, distributed PyTorch, a web dashboard and an MCP server for AI agents.
