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3.5 KiB
3.5 KiB
GPUStack
GPUStack is an open-source GPU cluster manager for running large language models(LLMs).
Key Features
- Supports a Wide Variety of Hardware: Run with different brands of GPUs in Apple MacBooks, Windows PCs, and Linux servers.
- Scales with Your GPU Inventory: Easily add more GPUs or nodes to scale up your operations.
- Distributed Inference: Supports both single-node multi-GPU and multi-node inference and serving.
- Multiple Inference Backends: Supports llama-box (llama.cpp) and vLLM as the inference backend.
- Lightweight Python Package: Minimal dependencies and operational overhead.
- OpenAI-compatible APIs: Serve APIs that are compatible with OpenAI standards.
- User and API key management: Simplified management of users and API keys.
- GPU metrics monitoring: Monitor GPU performance and utilization in real-time.
- Token usage and rate metrics: Track token usage and manage rate limits effectively.
Supported Platforms
- MacOS
- Windows
- Linux
The following Linux distributions are verified to work with GPUStack:
| Distributions | Versions |
|---|---|
| Ubuntu | >= 20.04 |
| Debian | >= 11 |
| RHEL | >= 8 |
| Rocky | >= 8 |
| Fedora | >= 36 |
| OpenSUSE | >= 15.3 (leap) |
| OpenEuler | >= 22.03 |
!!! note
The installation of GPUStack worker on a Linux system requires that the GLIBC version be 2.29 or higher.
Supported Accelerators
- Apple Metal
- NVIDIA CUDA(Compute Capability 6.0 and above)
We plan to support the following accelerators in future releases.
- AMD ROCm
- Intel oneAPI
- MTHREADS MUSA
- Qualcomm AI Engine
Supported Models
GPUStack uses llama.cpp and vLLM as the backends and supports a wide range of models. Models from the following sources are supported:
Example language models:
Example multimodal models:
For full list of supported models, please refer to the supported models section in the inference backends documentation.
OpenAI-Compatible APIs
GPUStack serves OpenAI compatible APIs. For details, please refer to OpenAI Compatible APIs
