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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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Archives de catégorie : Non classé
Unlocking AI Inference Performance with Intel® Xeon® 6 Processors with Priority Core Turbo
As Large Language Models continue to scale, the CPU host node in CPU-GPU AI accelerated systems has become an important performance component.
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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.
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CPU Overload Despite Having iGPU: Here’s Why?
CPU overload with unused iGPU? You’re leaving performance on the table.Learn how to offload video decoding, preprocessing, and AI inference to Intel® iGPU using DL Streamer—and unlock real-time analytics with lower power and higher efficiency.
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Agentic Code Execution: A Leaner Way to Build AI Agents with Open Models
The landscape of AI agents is shifting from simple « ask-and-receive » interactions toward complex, multi-step reasoning.
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Intel® Xeon® 6 Processors: The Ultimate Host CPU Solution for AI-Accelerated Systems and Agentic AI
When it comes to choosing the right foundation for your AI infrastructure, Intel Xeon 6 processors stand out as the clear winner.
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Running the AI Factory: How Enterprises Operationalize AI Placement at Scale
Part 3 of our CPU:GPU blog series now moves from metaphor to operations.
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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 improve overall system efficiency.
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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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Trust in the Age of Sovereign AI with Intel, Nvidia, and Red Hat
Confidential Computing is emerging as a foundational technology for Sovereign AI.
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