Archives de catégorie : Non classé

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.

When it comes to scaling AI, the conversation isn’t only about the cloud—it’s about the edge. According to Matthew Formica, Senior Director and Head of Edge Product Marketing & AI PC/Edge AI Software Developer Relations at Intel, the edge represents … Continuer la lecture →

Today’s AI workloads are not purely offloaded to GPU accelerators. Host CPUs such as the Intel® Xeon® 6 processors play a significant role in maximizing the performance of AI-accelerated systems.

For Sorenson Senior Director of AI Mariam Rahmani, the future of AI isn’t about building the flashiest models—it’s about creating solutions that close communication gaps and empower people, especially the Deaf and Hard of Hearing community. With a third of … Continuer la lecture →

As enterprises scale generative AI across diverse infrastructures, Intel® AI for Enterprise RAG solution delivers a modular, hardware-aware framework for Retrieval-Augmented Generation (RAG) optimized for Kubernetes and Intel platforms. With intelligent scheduling, NUMA-aware resource isolation, and dynamic scaling, it ensures predictable, … Continuer la lecture →

In the evolving landscape of artificial intelligence, connected data is becoming a core competitive advantage.

In the race to operationalize AI, success hinges not on hype, but on clarity, customization, and speed to value. According to Riyaz Habibbhai, Director of Product Marketing at Google Cloud, truly effective AI product marketing focuses on one simple but … Continuer la lecture →

Researchers from the University of Texas at Austin and Intel Labs investigated chain-of-thought reasoning structures in large language models to identify and calibrate flawed reasoning pathways