Archives mensuelles : septembre 2025

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 … Continuer la lecture →

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 … Continuer la lecture →

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.