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Articles récents
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
- Building AI With Empathy: Sorenson’s Mission for Accessibility
- Multi-node deployments using Intel® AI for Enterprise RAG
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
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Neural networks news
Intel NN News
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
Today’s AI workloads are not purely offloaded to GPU accelerators. Host CPUs such as the Intel® […]
- Multi-node deployments using Intel® AI for Enterprise RAG
As enterprises scale generative AI across diverse infrastructures, Intel® AI for Enterprise RAG […]
- Building AI With Empathy: Sorenson’s Mission for Accessibility
For Sorenson Senior Director of AI Mariam Rahmani, the future of AI isn’t about building the […]
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
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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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