🚀 Introducing GPUStack: An open-source GPU cluster manager for running LLMs Hey Product Hunt community! 🌟 We are thrilled to launch GPUStack, an open-source GPU cluster manager for running Large Language Models (LLMs). Even though LLMs are widely available as public cloud services, organizations cannot easily host their own LLM deployments for private use. They need to install and manage complex clustering software such as Kubernetes and then figure out how to install and manage the AI tool stack on top. Popular ways to run LLMs locally, such as LMStudio and LocalAI, works on a single machine. GPUStack allows you to create a unified cluster from any brand of GPUs in Apple MacBooks, Windows PCs, and Linux servers. Administrators can deploy LLMs from popular repositories such as Hugging Face. Developers can then access LLMs just as easily as accessing public LLM services from vendors like OpenAI or Microsoft Azure. If you are interested in GPUStack, visit the following links to see more information: - Introducing GPUStack: https://gpustack.ai/introducing-... - User guide: https://docs.gpustack.ai Check it out and let us know what you think! Your feedback is invaluable as we continue to enhance GPUStack.

GPUStack

gpustack/gpustack: Manage GPU clusters for running LLMs

gpustack/gpustack: Manage GPU clusters for running LLMs