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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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Archives de catégorie : Non classé
Argonne’s Aurora Supercomputer Helps Power Breakthrough Simulations of Quantum Materials
Using three U.S. Department of Energy (DOE) supercomputers, researchers from the University of Southern California (USC) and DOE’s Lawrence Berkeley National Laboratory developed new ways to model these complex systems with greater precision than ever before.
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AERIS Earth Systems Model Pushes AI for Science to New Heights
Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory introduce AERIS, a breakthrough AI system learning from decades of Earth systems data to deliver fast, high-resolution forecasts.
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Leveraging Edge AI for Business Innovation
Discover how Intel Edge AI merges computing and intelligence to drive automation, real-time decisions, and business transformation.
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Intel® AI for Enterprise Inference as a Deployable Architecture on IBM Cloud
Intel® AI for Enterprise Inference as a Deployable Architecture on IBM Cloud The enterprise AI landscape demands solutions that can scale efficiently while maintaining operational simplicity and cost-effectiveness. Intel® AI for Enterprise Inference (Enterprise Inference), powered by the Open Platform … Continuer la lecture
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Scaling Intel® AI for Enterprise RAG Performance: 64-Core vs 96-Core Intel® Xeon®
This evaluation shows materially higher concurrency and improved latency scaling when moving from a 64-core to a 96-core Intel® Xeon® configuration for Intel® AI for Enterprise RAG inference. The 96-core SKU doubles SLA-compliant concurrency for Llama-AWQ and Mistral-AWQ (32 → … Continuer la lecture
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Comprehensive Analysis: Intel® AI for Enterprise RAG Performance
This comprehensive analysis demonstrates that systems with two 64-core Intel® Xeon® processors can effectively support enterprise-scale RAG deployments, handling up to 32 concurrent users with optimized configurations that comply with targeted SLAs. These results validate Intel® Xeon® as a viable … Continuer la lecture
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Agentic AI: The Dawn of Specialized Small Language Models
Small Language Models (SLMs) are emerging as the nimble, quick-thinking counterparts to LLMs providing specialized knowledge in a way that is lean, fast and cost-effective.
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The Age of With: Rethinking Enterprise Strategy Through Agentic AI
Explore how Agentic AI is reimagining enterprise workflows, industry processes, and leadership priorities with Baris Sarer, Global AI Leader for the Technology, Media, and Telecommunications (TMT) Industry at Deloitte.
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Get Started Accelerating AI on Intel® Xeon®
This blog will introduce a new Intel® AMX Detection Tool that tells you when your platform supports AMX and whether your OS has enabled it.
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Making AI Safer, Simpler, and More Sustainable: Falcons.AI’s Mission in Partnership with Intel
For Falcons.AI COO Bobbi Stattelman, the future of AI isn’t about chasing the next breakthrough at any cost—it’s about building solutions that make the world safer, easier to navigate, and more sustainable. In a landscape crowded with massive models and … Continuer la lecture
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