Le projet THINK

Utilizing block pruning techniques, Intel Labs researchers developed the Mamba-Shedder solution to remove redundancies in Mamba-based models, improving their computational and memory efficiency

Industrial enterprises need more than just AI to scale technology across diverse environments. They need open, flexible, and interoperable platforms.

Generative AI is changing how businesses work, and Retrieval-Augmented Generation (RAG) is one of the most exciting tools out there. It helps AI give smarter, more accurate answers by connecting it to your company’s data. But setting it up can be tricky—until now.

If you’re curious about how to bring AI into your business without the headaches, this post is for you.

Vector search is at the core of the AI revolution, and this blog series is here to teach you all about it. Our blog series introduces scalable vector search and dives deeper into sector compression, dimensionality reduction, and Retrieval-Augmented Generation systems.

Agentic AI is here: See how Intel® Liftoff startups are building smarter, more autonomous systems that plan, reason, and execute across real-world workflows.

Ted Shelton, Chief Operating Officer at Inflection AI, discusses how emotionally intelligent AI is transforming business interactions, customer experience, and organizational workflows.

Learn how to deploy Llama 4 Scout and Maverick models on Intel® Gaudi® 3 using vLLM for efficient, high-performance inference across complex AI tasks.

Intel Labs’ Neural Low-Rank Adapter Search (NLS) produces accurate models with INT4 weights and is available in OpenVINO’s Neural Network Compression Framework

Run Llama 3.3-70B efficiently on Intel® Gaudi® 2 using vLLM. Learn setup, configuration, and performance tips for scalable, production-ready inference.