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Articles récents
- Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
- 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
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Neural networks news
Intel NN News
- Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
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 […]
- 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 […]
- Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
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Give Your RAG a Voice: Building an Audio Q&A Experience with Intel® AI for Enterprise RAG
Turn your RAG into a voice-powered assistant with Intel® AI for Enterprise RAG.
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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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Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study
In this post, we’ll dicuss how to run responsive, CPU-only applications using a quantized SLM in the GPT-Generated Unified Format (GGUF).
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Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice
The latest Intel® Xeon® 6 processors deliver performance advantages across key enterprise workloads, enabling companies to deploy fewer servers and still deliver a similar aggregate performance level compared to AMD EPYC solutions
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Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
Intel® Xeon® processors can deliver a CPU-first platform built for modern AI workloads without added complexity or overhead.
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