Monitoring and Debugging RAG Systems in Production

The article highlights how Intel® AI for Enterprise RAG enables oversight through tools for tracing data flow, performance telemetry, and log analysis. Happy to announce that the Intel® AI for Enterprise RAG version 1.5.0 has just been released.

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Agentic AI in Action: Transforming Health, Education, and Consumer Experiences

From hospital corridors to classroom desks, artificial intelligence is doubling its capabilities every six months—but the real breakthrough isn’t in what AI can do, it’s in how we’re finally making it work responsibly for real people.

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Powering AI-Driven Workflows: Intel’s Vision for the Future of Professional Computing

The race to operationalize AI isn’t about who’s fastest—it’s about who’s smartest.  While the tech world obsesses over processing speeds and benchmark scores, enterprise leaders are asking different questions: Can this AI system actually integrate with our existing workflows? Will it keep our data secure? Can it scale without breaking our budget?
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Deploying Deepseek models on Intel® Gaudi® accelerators using vLLM

Deepseek is a model that utilizes Deepseek Mixture of Experts (MoE) and Multi-Head Latent Attention (MLA). Weights are natively stored in FP8 with block quantization scales.It comes in two forms: V3, which is a standard model, and R1, which is a reasoning model that has the same architecture and memory footprintIt can be run on both Intel Gaudi2 and Intel Gaudi3

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Powering Agentic AI with CPUs: LangChain, MCP, and vLLM on Google Cloud

Google Cloud now offers access to Intel® Xeon® 6 CPUs. These processors are well-suited for a variety of workloads, including agentic AI systems.

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How Intel Creates Better AI Video Understanding with Scene Graph Technology

Intel researchers developed EASG-Bench, a new benchmark with more than 1,800 question-answer pairs that tests how well AI models understand what happens in first-person videos by using structured scene graphs instead of narrative video descriptions

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Intel® Xeon 6® Processors: Delivering High Throughput and Low Latency with Data Center LLMs

When optimizing LLM workloads, hardware is only one piece of the equation. Intel brings decades of experience working with software developers, building a strong ecosystem to optimize software for Intel Xeon processors.

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AI PCs and the Future of Cybersecurity: AI-Powered Protection from Deepfakes

The rise of deepfakes has introduced a new dimension of risk in today’s digital landscape. What started as fringe technology is now a mainstream concern for consumers, businesses, and governments alike. For Leena Elias, Chief Product Officer at Gen Digital, the challenge is clear: protect people from increasingly sophisticated threats while making the technology accessible and understandable. Norton’s latest collaboration with Intel is a step in that direction—bringing together security expertise and AI-enabled hardware to redefine how protection works at the device level.

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Powering Agentic AI with CPUs: LangChain, MCP, and vLLM on Google Cloud

With the launch of the C4 series, Google Cloud now offers access to Intel® Xeon® 6 processor with P-cores which are well-suited for a variety of workloads, including agentic AI systems.

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Building a Sovereign GenAI Stack for the United Nations with Intel and OPEA

The United Nations (UN) has taken a bold step toward digital sovereignty by developing an open-source AI infrastructure in collaboration with Intel and the Open Platform for Enterprise AI (OPEA).

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