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Neural networks news
Intel NN News
- Unleash Fast and Optimized AI Inference with Intel® AI for Enterprise Inference
Intel® AI for Enterprise Inference reduces infrastructure complexity with a one-click packaged […]
- Edge AI
AI That Moves the World Starts at the Edge
- Edge AI for Smart Cities
Cities That Sense, Decide, and Respond as One: Edge AI Turns Urban Infrastructure into Autonomous […]
- Unleash Fast and Optimized AI Inference with Intel® AI for Enterprise Inference
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Edge AI
AI That Moves the World Starts at the Edge
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Edge AI for Smart Cities
Cities That Sense, Decide, and Respond as One: Edge AI Turns Urban Infrastructure into Autonomous Systems
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From Factory Precision to Intelligent Robots: How Real-World Performance Shapes Industrial Edge AI
AI often looks impressive in demos. We’ve all seen them—robots performing miraculous feats of dexterity, thanks largely to the human with a gaming controller behind the stage. To be fair, of course, a proof of concept often requires this. However, it’s an important reminder that what looks good … Continuer la lecture
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Unleash Fast and Optimized AI Inference with Intel® AI for Enterprise Inference
Intel® AI for Enterprise Inference reduces infrastructure complexity with a one-click packaged solution to deploy all the necessary components for optimized hardware-specific model inference.
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Building Production AI Agents on Intel® Xeon® Processors with Flowise
Within inference workloads which are growing faster than any other, even outpacing training, one category is growing faster than any other: agentic AI.
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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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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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