Archives de catégorie : Non classé

by Mike Ferron-Jones (Intel) and Dan Middleton (NVIDIA)   As AI workloads increasingly process sensitive and regulated data, enterprises face a growing challenge: how to combine the performance of GPU acceleration with strong confidentiality guarantees. Confidential AI aims to meet this … Continuer la lecture →

AI That Moves the World Starts at the Edge

Cities That Sense, Decide, and Respond as One: Edge AI Turns Urban Infrastructure into Autonomous Systems

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 →

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.

Within inference workloads which are growing faster than any other, even outpacing training, one category is growing faster than any other: agentic AI.

Turn your RAG into a voice-powered assistant with Intel® AI for Enterprise RAG.

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 →

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 →

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