-
-
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?
-
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
-
Archives mensuelles : septembre 2023
Food Sales Prediction Model using scikit-learn* (sklearn): Developer Spotlight
Developer Spotlight: Sayan Malakar proposed an AI solution for food sales prediction
Publié dans Non classé
Commentaires fermés sur Food Sales Prediction Model using scikit-learn* (sklearn): Developer Spotlight
Accelerating Codegen training and inference on Habana Gaudi2
Optimum Habana makes it easy to achieve fast training and inference of large language models (LLMs) on Habana Gaudi2 accelerators. In this blog, we will walk through the process of performing Low-Rank Adaptation (LoRA) training of Codegen , an open-source LLM for … Continuer la lecture
Publié dans Non classé
Commentaires fermés sur Accelerating Codegen training and inference on Habana Gaudi2
FAENet: Intel Labs and Mila Collaborate on Data-Centric AI Model for Materials Property Modeling
Intel and Mila collaborated on FAENet, a new data-centric model paradigm that improves both modeling and compute efficiency across different types of materials modeling datasets.
Publié dans Non classé
Commentaires fermés sur FAENet: Intel Labs and Mila Collaborate on Data-Centric AI Model for Materials Property Modeling
New Possibilities for Generative AI SaaS: Intel® Liftoff Startups at Intel® Innovation 2023
Intel Innovation 2023 at the San Jose Convention Center is a global tech gathering focusing on AI, future-proof platforms, and startups, including six promising ones from the Intel Liftoff for Startups program. It’s a must-attend event for tech enthusiasts and … Continuer la lecture
Publié dans Non classé
Commentaires fermés sur New Possibilities for Generative AI SaaS: Intel® Liftoff Startups at Intel® Innovation 2023
Terrain Analytics Uses Intel® 4th Gen Xeon CPUs To Achieve Higher Throughput with Lower Costs
Terrain Analytics, a finalist in Intel Liftoff’s AI startup Hackathon, offers HR leaders valuable insights into talent management. Their platform enhances hiring precision and cost-effectiveness for businesses.
Publié dans Non classé
Commentaires fermés sur Terrain Analytics Uses Intel® 4th Gen Xeon CPUs To Achieve Higher Throughput with Lower Costs