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Articles récents
- Starting with Production in Mind: A Blueprint for Affordable Enterprise-Grade RAG on VMware Tanzu
- Running the AI Factory: How Enterprises Operationalize AI Placement at Scale
- Intel® Xeon® 6 Processors: The Ultimate Host CPU Solution for AI-Accelerated Systems and Agentic AI
- Agentic Code Execution: A Leaner Way to Build AI Agents with Open Models
- CPU Overload Despite Having iGPU: Here’s Why?
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Neural networks news
Intel NN News
- Starting with Production in Mind: A Blueprint for Affordable Enterprise-Grade RAG on VMware Tanzu
Enterprise AI on CPUs: Intel & T‑Systems prove RAG runs cost‑effectively without GPUs.
- Intel® Xeon® 6 Processors and Intel® AMX Deliver More Concurrent Users with NVIDIA HGX B200 Systems
This blog introduces a heterogeneous architecture that co-runs vLLMs on both CPUs and GPUs to […]
- Speed-up JAX LLM Training on Intel® Xeon® 6 CPU: Activation Offloading on Heterogeneous Systems
JAX-based Activation Offloading on Intel® Xeon® 6 with P-cores systems offers an effective […]
- Starting with Production in Mind: A Blueprint for Affordable Enterprise-Grade RAG on VMware Tanzu
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Archives mensuelles : janvier 2023
Getting started with classical Machine Learning Frameworks using Google Colaboratory
Installing major machine learning frameworks optimized by Intel on Google Colaboratory (Colab)
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Training Causal Language Models on SDSC’s Gaudi-based Voyager Supercomputing Cluster
The SDSC Voyager supercomputer is an innovative AI system designed specifically for science and engineering research at scale. Funded by the National Science Foundation, Voyager represents a collaboration with the San Diego Supercomputer Center at UC San Diego, Supermicro, and Intel’s Habana Labs, facilitating … Continuer la lecture
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Top 10 Intel Labs Posts of 2022
Intel Labs presented many exciting research innovations in 2022. Read for a brief description of Intel Labs’ top 10 blogs for 2022.
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Intel Labs at The Winter Conference on Applications of Computer Vision
Intel presents five computer vision papers that detail novel works that include a Dynamic Scene Graph Detection Transformer, a Fast Learnable Once-for-all Adversarial Training method, a method for quantizing convolutional neural networks for efficient training, face access models applied in a hypothetical social network, and a … Continuer la lecture
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