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Articles récents
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
- How to Fine-Tune an LLM on Intel® GPUs With Unsloth
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
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Neural networks news
Intel NN News
- 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 […]
- 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® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD […]
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
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Archives mensuelles : septembre 2025
Scaling AI with Confidence: Lenovo’s Approach to Responsible and Practical Adoption
In the race to operationalize AI, success depends not on flashy pilots, but on turning experimentation into measurable business value. According to David Ellison, Chief Data Scientist and Director of AI Engineering at Lenovo, the most successful AI projects start … Continuer la lecture
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Unlocking AI-Driven Media Monetization with Intel® Xeon® CPUs and Broadpeak BannersIn2
In this article, we will cover how to deploy high-performance AI inferencing for media data curation and retrieval-augmented generation (RAG) without requiring discrete GPUs.
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AI at the Edge: Intel’s Vision for Real-World Impact
When it comes to scaling AI, the conversation isn’t only about the cloud—it’s about the edge. According to Matthew Formica, Senior Director and Head of Edge Product Marketing & AI PC/Edge AI Software Developer Relations at Intel, the edge represents … Continuer la lecture
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