Artificial Intelligence (AI)

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842 Discussions

Artificial Intelligence (AI)

Artificial Intelligence (AI)
Discuss current events in AI and technological innovations with Intel® employees

Posts

How to Integrate SharePoint Online with a RAG system

Learn how to connect SharePoint content to RAG without manual exports
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From U-Net to DiT: Z-Image Turbo Runs in Your Browser

As generative AI models grow more powerful, running them on-device — directly in the browser, with n...
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End-to-End Podcast Generation Using OpenNotebook on Intel® Xeon®: A Practical Guide

The Content Paradox: Why Podcast Generation is Hard Enterprises and researchers are currently facing...
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ExecuTorch with OpenVINO Backend in 2026: New Capabilities and Updates

Discover the latest ExecuTorch + OpenVINO™ updates, including advanced compression, new model suppor...
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Gemma 4 Models optimized for Intel Hardware: Enabling instant deployment from day zero

Google’s Gemma 4 models arrive with day-zero optimization on Intel hardware. Discover how OpenVINO™,...
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Why Planning is the Most Crucial Step for Enterprise AI Readiness

Planning is the most crucial step in an enterprise's artificial intelligence (AI) readiness journey,...
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Saturate your Tensor Cores: Intel at NVIDIA GTC 2026

CPU+GPU coordination took center stage at NVIDIA GTC 2026 when we announced that Intel Xeon 6 has be...
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X86: The Enterprise Engine to Scale AI-Factory Deployments

Intel® Xeon® processors have been the most widely deployed host-node processors, with unmatched I/O ...
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Intel vPro Security Drives New AI PC Innovations with the Security Ecosystem

AI for security, security for AI, AI detection and response, prompt injection detection, agentic SOC...
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Tuning your AI Factory to Meet Requirements

Matching equipment (in this case CPU/GPU/LPU) to workload requirements is our focus in part 2 of thi...
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Edge AI

Clinical Insight When Decisions Can’t Wait
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Confidential AI with GPU Acceleration: Bounce Buffers Offer a Solution Today

by Mike Ferron-Jones (Intel) and Dan Middleton (NVIDIA) As AI workloads increasingly process sensiti...
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Edge AI

AI That Moves the World Starts at the Edge
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Edge AI for Smart Cities

Cities That Sense, Decide, and Respond as One: Edge AI Turns Urban Infrastructure into Autonomous Sy...
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Unleash Fast and Optimized AI Inference with Intel® AI for Enterprise Inference

Intel® AI for Enterprise Inference reduces infrastructure complexity with a one-click packaged solut...
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Building Production AI Agents on Intel® Xeon® Processors with Flowise

Within inference workloads which are growing faster than any other, even outpacing training, one cat...
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Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors

As generative and agentic AI use cases proliferate across nearly every industry, improving the relia...
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How to Fine-Tune an LLM on Intel® GPUs With Unsloth

Fine-tuning an LLM doesn’t have to require massive infrastructure. With Unsloth now supporting Intel...
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Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance

In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD EPYC...
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A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.

Deploying large language models no longer requires expensive GPUs or complex infrastructure. In this...
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Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators

From community curiosity to real-world inference – showing how local language models run with day-ze...
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Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study

In this post, we'll dicuss how to run responsive, CPU-only applications using a quantized SLM in the...
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Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice

The latest Intel® Xeon® 6 processors deliver performance advantages across key enterprise workloads,...
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Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads

Intel® Xeon® processors can deliver a CPU-first platform built for modern AI workloads without added...
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Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG

Transform enterprise documents into insights with Document Summarization, optimized for Intel® Xeon®...
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AutoRound Meets SGLang: Enabling Quantized Model Inference with AutoRound

We are thrilled to announce an official collaboration between SGLang and AutoRound, enabling low-bit...
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In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case

In this guide, you'll learn multiple aspects of optimizing the Search and Recommendation model deplo...
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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 South...
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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 ...
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Leveraging Edge AI for Business Innovation

Discover how Intel Edge AI merges computing and intelligence to drive automation, real-time decision...
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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 CloudAuthored by: Pai PramodT...
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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 ...
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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 e...
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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 providi...
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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 prior...
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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 ...
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Simplify Physical AI Deployment with Intel® Robotics AI Suite

The next era of robotics innovation is already here…are you ready? The robotics industry is at an in...
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Monitoring and Debugging RAG Systems in Production

The article highlights how Intel® AI for Enterprise RAG enables oversight through tools for tracing ...
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Agentic AI in Action: Transforming Health, Education, and Consumer Experiences

From hospital corridors to classroom desks, artificial intelligence is doubling its capabilities eve...
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Powering AI-Driven Workflows: Intel’s Vision for the Future of Professional Computing

The race to operationalize AI isn't about who's fastest—it's about who's smartest. While the tech w...
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Deploying Deepseek models on Intel® Gaudi® accelerators using vLLM

Deepseek is a model that utilizes Deepseek Mixture of Experts (MoE) and Multi-Head Latent Attention ...
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Powering Agentic AI with CPUs: LangChain, MCP, and vLLM on Google Cloud

Google Cloud now offers access to Intel® Xeon® 6 CPUs. These processors are well-suited for a variet...
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How Intel Creates Better AI Video Understanding with Scene Graph Technology

Intel researchers developed EASG-Bench, a new benchmark with more than 1,800 question-answer pairs t...
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