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Articles récents
- End-to-End Podcast Generation Using OpenNotebook on Intel® Xeon®: A Practical Guide
- ExecuTorch with OpenVINO Backend in 2026: New Capabilities and Updates
- Gemma 4 Models optimized for Intel Hardware: Enabling instant deployment from day zero
- Why Planning is the Most Crucial Step for Enterprise AI Readiness
- Saturate your Tensor Cores: Intel at NVIDIA GTC 2026
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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 a « Content Paradox ». We have more data than ever—whitepapers, technical docs, and meeting transcripts—but less time to consume it. Turning this raw information into an engaging, … Continuer la lecture
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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 support, and improved deployment across CPU, GPU, and NPU for Intel® AI PCs and edge systems.
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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™, PyTorch, vLLM, and Hugging Face enable scalable AI deployment across CPUs, GPUs, and NPUs.
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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, followed by prototyping, integration, and scaling
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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 been selected as the host CPU for NVIDIA DGX Rubin NVL8 systems.
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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 and memory scalability, enterprise‑grade RAS, and the ability to support both mixed workloads and CPU‑based AI efficiently.
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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 – the adoption of AI is driving a rapid cybersecurity innovation cycle in security software solutions.
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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 this blog series.
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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 sensitive and regulated data, enterprises face a growing challenge: how to combine the performance of GPU acceleration with strong confidentiality guarantees. Confidential AI aims to meet this … Continuer la lecture
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