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

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

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.

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, … Continuer la lecture →

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.

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).

The vLLM (Virtualized Large Language Model) framework, optimized for CPU inference, is emerging as a powerful solution for efficiently serving large language models (LLMs).

Developed by Intel, KVCrush can improve LLM inference throughput up to 4x with less than 1% accuracy drop.

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 →

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.