We released GPUStack 0.1.1 this week. In this update, we not only fixed some issues but also added three major new features, as outlined below. Most importantly, we encourage you to download GPUStack, install it in your environment, and manage your GPUs to run selected LLMs for your AI innovations.
🎉 New Features
• 🤖 Added support for Embedding models / API and Completions API.
• 📦 Introduced support for Docker run and Docker Compose (Ubuntu + NVIDIA GPUs).
• 🚤 Installation now supports specifying a PyPI mirror for faster package downloads.
• ⬆️ Upgrade support added.
🚀 GPUStack 0.1.1 Release
🎉 New Features
• 🤖 Added support for Embedding models / API and Completions API.
• 📦 Introduced support for Docker run and Docker Compose (Ubuntu + NVIDIA GPUs).
• 🚤 Installation now supports specifying a PyPI mirror for faster package downloads.
• ⬆️ Upgrade support added.
🐛 Bug Fixes
• 🛠️ Fixed the issue where a 500 error was returned when no Worker was present.
• ⚙️ Resolved compatibility issues with certain operating systems.
• 💻 Fixed issues related to the installation script.
• 📊 Addressed data collection issues with fastfetch.
🔗 Full changelog: https://lnkd.in/gfJjFGJf
Release 0.1.1 · gpustack/gpustack
github.com
Agile Product Owner | 10+ years of hands-on experience in delivering complex, enterprise-level SaaS applications, customer experience, continuous improvement and value creation
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