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Articles récents
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
- How to Fine-Tune an LLM on Intel® GPUs With Unsloth
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
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Neural networks news
Intel NN News
- 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 […]
- 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® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD […]
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
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Archives mensuelles : juin 2022
Enabling AI Everywhere by Accelerating the Open AI Software Ecosystem
Wei Li, Intel’s VP/GM AI & Analytics, discusses enabling an open AI ecosystem through Intel’s partnerships with Google, HuggingFace, and Accenture at the AI Summit in London.
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Enhance Artificial Intelligence (AI) Workloads with Built-in Accelerators
Intel DL Boost brings accelerated performance without the need for a discrete add-on accelerator.
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Hybrid AI Inferencing managed with Microsoft Azure Arc-Enabled Kubernetes
Azure Arc-Enabled Kubernetes enables centralized management of heterogenous and geographically separate Kubernetes clusters from Azure public cloud.
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OpenVINO™ Toolkit Execution Provider for ONNX Runtime — Installation Now Made Easier
Installation Now Made Easier
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Intel Labs Accelerates Single-cell RNA-Seq Analysis
On a single instance of n2-highcpu-64 on GCP, the whole pipeline finishes in just 459 seconds (7.65 mins). This is nearly 40 times faster than the 5-hour CPU baseline that we started with. This is also nearly 1.5 times faster … Continuer la lecture
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