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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 : octobre 2024
Free Multimodal RAG Course from Intel Labs Available on DeepLearning.AI
Interested in learning more about Multimodal RAG? Want to quickly develop the expertise to create AI systems that can intelligently interact with video content? Then consider joining the over 10,000 developers that have taken the free short course, « Multimodal RAG: … Continuer la lecture
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The AI Developer’s Dilemma: Proprietary AI vs. Open Source Ecosystem
Fundamental Choices Impacting Integration and Deployment at Scale of GenAI into Businesses
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