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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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Neural networks news
Intel NN News
- 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.
- 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 […]
- 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 […]
- Starting with Production in Mind: A Blueprint for Affordable Enterprise-Grade RAG on VMware Tanzu
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Archives mensuelles : octobre 2024
Building AI for Low-Resource Languages: Bezoku’s Innovative Approach
Bezoku, a member of the Intel® Liftoff program, is addressing the challenges of low-resource language modeling with innovative solutions designed to enhance communication across diverse dialects. Recently featured on the Intel On AI podcast, find out how they’re shaping the … Continuer la lecture
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Accelerate PyTorch* Inference with torch.compile on Windows* CPU
We are excited to announce that PyTorch* 2.5 has introduced support for the torch.compile feature on Windows* CPU, thanks to the collaborative efforts of Intel and Meta*. This enhancement aims to speed up PyTorch code execution over the default eager … Continuer la lecture
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DubHacks’24 Hackathon Where Developers Innovatively Utilized Intel® Tiber™ AI Cloud and AI PCs
DubHacks’24 Hackathon: Highlights and Winning Projects of the ‘Best Use of Intel AI’ Track
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Boost the Performance of AI/ML Applications using Intel® VTune™ Profiler
Enhance the performance of Python* and OpenVINO™ based AI/ML workloads using Intel® VTune™ Profiler
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AI Developers, Join Team Intel at the UT Austin’s HackTX 2024 Hackathon!
Bringing Intel® Tiber™ AI Cloud and AI PC for developers at the UT Austin’s HackTX 2024 hackathon
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Model Quantization with OpenVINO
Discover how Desmond Grealy’s workshop on model quantization with OpenVINO explored ways to enhance AI performance and reduce model size for edge deployment.
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Optimizing Federated Learning Workloads: A Practical Evaluation
This webinar provides a deep dive into the technical aspects of using federated learning in healthcare, particularly for AI-based diagnostic tools in medical imaging.
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Generative AI as a Life Saver: CerebraAI Helps Detecting Strokes Quicker And More Precisely
With the help of CerebraAI’s generative AI software the detection and treatment of strokes can be significantly enhanced. In order to optimize their software CerebraAI is using Intel® OpenVINO toolkit within several of its models.
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Optimizing Multimodal AI Inference
In this recap of Rahul Nair’s workshop from Intel® Liftoff Days 2024, we’ll dive into optimization strategies for multimodal AI inference on Intel hardware. Learn how to leverage Intel’s software tools to boost performance and streamline AI workflows.
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The 24.08 Intel® Tiber™ Edge Platform Release is Now Available
Discover the latest Intel Tiber Edge Platform features and revolutionize your edge AI solutions!
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