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About GPUStack

GPUStack is a platform designed to simplify and accelerate the deployment of large language models (LLMs) for inference. It addresses the complexities associated with optimizing open-source inference engines, which often require significant expertise and manual tuning to achieve optimal performance across diverse hardware. GPUStack automates this optimization process, delivering substantial performance gains, such as up to 3x improvement in throughput or significant latency reductions, right out of the box. The platform caters to various deployment needs with flexible modes including Throughput, Latency, Standard, and Custom, allowing users to tailor optimizations to specific use cases like batch processing, real-time interactive applications, or maximum model accuracy. It supports a wide array of state-of-the-art open-source models and offers scalable deployment options across on-premise infrastructure, Kubernetes clusters, and multi-cloud environments. GPUStack also provides comprehensive monitoring, management, and collaboration tools, making it suitable for enterprises looking to deploy LLMs at scale with confidence, offering features like SSO, access control, and high availability.