Open-source desktop app to run, serve and fine-tune text, image, video and audio models entirely on your own machine.
Coding & DevelopmentFree
GPU
Accelerated computing on GPUs, from CUDA workloads to rented inference and training capacity.
5 apps, 4 skills and 1 MCP server tagged GPU.
Apps
Inference on custom LPU hardware, built for latency — open models served at speeds general-purpose GPUs struggle to match.
Coding & DevelopmentFreemium
Inference, fine-tuning, and GPU clusters for open models — the full stack for teams building on open weights.
Coding & DevelopmentFreemium
Serverless GPUs from a Python decorator — deploy models and batch jobs with no containers or cluster to manage.
Coding & DevelopmentFreemium
Production inference for open and custom models — fast, autoscaling, and deployable into your own cloud.
Coding & DevelopmentFreemium
Skills
NVIDIA's official skill for DALI's imperative dynamic-mode API — write GPU data loading as ordinary Python, or migrate an existing pipeline-mode graph across.
NVIDIA's official onboarding skill for CUDA-Q — installs the platform, writes your first quantum kernel, picks a GPU simulator and routes you to real QPU hardware.
NVIDIA's own guidance for moving pandas workloads onto GPU DataFrames with cuDF and dask-cuDF — when it pays off, and how to keep results identical.
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Skill: Hugging Face Spaces
by Hugging Face
Deploy and maintain applications on Hugging Face Spaces — SDK choice, GPU hardware, model loading, and debugging.
MCP servers
Runpod's official MCP server for driving GPU infrastructure — create and manage Pods, Serverless endpoints, templates and network volumes from an AI client.
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