Deploying large language models no longer requires expensive GPUs or complex infrastructure. In this guide, we show how Intel® Xeon® 6 processors paired with vLLM deliver high‑throughput, production‑ready LLM inference entirely on CPUs. Learn how to launch a scalable, OpenAI‑compatible endpoint on AWS Marketplace – complete with NUMA‑aware parallelism, BF16 acceleration, chunked prefill, and optimized KV‑cache performance – so you can run enterprise‑grade LLM workloads at a fraction of traditional GPU costs.
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Intel NN News
- Building Production AI Agents on Intel® Xeon® Processors with Flowise
Within inference workloads which are growing faster than any other, even outpacing training, one […]
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Turn your RAG into a voice-powered assistant with Intel® AI for Enterprise RAG.
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
As generative and agentic AI use cases proliferate across nearly every industry, improving the […]
- Building Production AI Agents on Intel® Xeon® Processors with Flowise
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