Red Hat released the AI Inference Server to enhance the deployment of generative AI in hybrid cloud settings. This enterprise-grade server is derived from the vLLM community project and incorporates Neural Magic technologies to improve efficiency and cost-effectiveness. It enables any generative AI model to run on any accelerator, streamlining production scalability. With robust inference capabilities, organizations can achieve faster and more accurate responses necessary for AI-driven applications, addressing the challenges of resource demand and operational costs that arise from increasingly complex models.
Red Hat AI Inference Server is intended to meet the demand for high-performing, responsive inference at scale while keeping resource demands low, providing a common inference layer that supports any model, running on any accelerator in any environment.
Inference is the critical execution engine of AI, where pre-trained models translate data into real-world impact. It's the pivotal point of user interaction, demanding swift and accurate responses.
Robust inference servers are no longer a luxury, but a necessity for unlocking the true potential of AI at scale, navigating underlying complexities with greater ease.
This breakthrough platform empowers organizations to more confidently deploy and scale gen AI in production.
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