lupinemachines/lupine

Health v2 · maintenance only

Adoption not part of the score

2382 stars · 132 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LUPINE is a GPU-over-IP bridge that lets machines without local GPUs attach NVIDIA GPUs running on remote servers over the network. It exposes CUDA, cuBLAS, cuDNN, and NVML remotely so tools like nvidia-smi and PyTorch work transparently on CPU-only clients.

Use cases

• use a remote GPU from a CPU-only Linux machine
• run CUDA workloads on a Mac with no NVIDIA GPU
• attach GPUs on remote servers to local containers
• run nvidia-smi against a GPU on another machine
• give CI or dev containers access to remote GPUs
• share a single GPU server across multiple client machines

When to choose

• your client machine has no NVIDIA GPU but you need CUDA
• you want transparent remote GPU access without rewriting code
• you want to centralize GPUs on servers and share them over the network
• you develop on macOS but need to test CUDA code

When to avoid

• you need maximum performance and a local GPU is available
• you need graphics/display workloads rather than compute
• you need non-NVIDIA GPU support
• your network latency to the GPU server is high

Facets

service · maturity active

networking gpu-computing sdk developer-tools gpu-computing microservices machine-learning developer-tools cloud-computing cross-platform cpp gpu-over-ip cuda remote-gpu nvidia cublas cudnn nvml mlops network-attached-gpu linux macos docker

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markdown · JSON · MCP: product_card(name="lupinemachines/lupine")