GPUStack
GPUStack is an open-source GPU cluster manager developed to provide AI model service and GPU samples. In-house servers manage multiple GPUs in Kubernetes cluster and cloud environments from a single hub; it automatically configures inference engines such as vLLM, SGLang, and TensorRT-LLM. It offers preset modes for low latency or high efficiency and features enterprise operation such as automatic failure recovery, load balancing, authentication.
GP
GPUStack
95gpustack · MLOps & AI Infrastructure
STARS5.9K
FORKS706
COMMITS3.5K
CONTRIBUTORS52
VERSIONv2.2.3
UPDATEDyesterday
PythonGPU KümevLLMSGLangApache-2.0
Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks
What can it do?
- The GPU cluster in multiple environments manages from a single interface and you plan resources.
- You automatically configure and scale inference engines such as vLLM, SGLang or TensorRT-LLM.
- Start GPU instances with SSH access on demand for development and fine-tuning workloads
Heads up
- • High number of open issues (727)