What makes Red Hat® AI Inference Server a pivotal addition to our AI portfolio? Joe Fernandes, VP and GM of Red Hat’s AI Business Unit, breaks down this powerful solution designed for flexible, efficient AI model deployment.
Discover the core components that enable you to run inference your way:
● vLLM as the Standard: Leverages the de facto open source standard for inference, connecting your models to hardware across the data center, public cloud, or edge.
● Broad Accelerator Support: Works seamlessly with various AI accelerators from Nvidia, AMD, Intel, Google, AWS, and more.
● Validated Model Repository: Gain access to a curated set of tested and optimized models ready for deployment in any environment.
● Red Hat LLM Compressor Tool: Optimize your own fine-tuned models for peak performance and efficiency.
Learn how Red Hat AI Inference Server, packaged and supported by Red Hat, provides the flexibility to deploy any model on any hardware, empowering your AI initiatives.
Next Steps:
➡️ Learn more about Red Hat AI Inference Server → https://www.redhat.com/en/about/press-releases/red-hat-unlocks-generative-ai-any-model-and-any-accelerator-across-hybrid-cloud-red-hat-ai-inference-server
💡 Explore Red Hat’s vision for Enterprise AI → https://www.redhat.com/en/products/ai
⚙️ Learn about vLLM technology → https://github.com/vllm-project/vllm
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