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Neural networks news
Intel NN News
- Migrating NVIDIA CUDA C++ AI Kernels to Intel SYCL for GPU Acceleration
Migrating AI kernels from NVIDIA CUDA C++ to Intel SYCL is no longer a heavy rewrite—it is […]
- Smart Building Automation AI Reviews: What to Score
The right review framework scores architectural fitness: edge inference, open composability, and […]
- Edge AI Examples: Real City Deployments
Edge AI delivers real-time city decisions locally. Verified deployments show a single-intersection […]
- Migrating NVIDIA CUDA C++ AI Kernels to Intel SYCL for GPU Acceleration
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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 alternative to activation recomputation, repurposing the CPU’s large DDR5 host memory as a live activation store and leveraging XLA’s asynchronous compute–communication overlap to avoid throughput loss.
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Unleash the Power of Intel® Xeon® 6 Processors with P-cores as AI Host CPU with Priority Core Turbo
By enabling priority cores to exceed standard all-core turbo limits and approach higher turbo frequency levels, PCT accelerates essential operations, reduces processing delays, and improves overall system responsiveness.
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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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