Archives mensuelles : février 2026

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 reliability, availability, and serviceability (RAS) of AI clusters is becoming increasingly important. Intel® Xeon® 6 processors offer an impressive set of RAS features that can help … Continuer la lecture

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How to Fine-Tune an LLM on Intel® GPUs With Unsloth

Fine-tuning an LLM doesn’t have to require massive infrastructure. With Unsloth now supporting Intel® GPUs, developers can efficiently customize models like Llama 3 and Qwen across Intel Core Ultra–based AI PCs, Intel Arc graphics, and the Intel Data Center GPU … Continuer la lecture

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Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance

In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD EPYC processors when running two commonly used vector search frameworks.

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From Gold Rush to Factory: How to Think About TCO for Enterprise AI

Less Gold Rush and more Boring Factory – The evolving AI mindset.

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A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.

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 … Continuer la lecture

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Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators

From community curiosity to real-world inference – showing how local language models run with day-zero Intel hardware support.

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