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Didi Chuxing Teams with NVIDIA for Autonomous Driving and Cloud Computing

Tuesday, December 17, 2019 — NVIDIA and Didi Chuxing (DiDi), the world’s leading mobile transportation platform, today announced that DiDi will leverage NVIDIA GPUs and AI technology to develop autonomous driving and cloud computing solutions. DiDi will use NVIDIA® GPUs in the data center for training machine learning algorithms and NVIDIA DRIVE™ for inference on […]

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NVIDIA Provides Transportation Industry Access to Its Deep Neural Networks for Autonomous Vehicles

Developers Also Gain Access to NVIDIA Advanced Learning Tools to Leverage DNNs Across Multiple Datasets While Preserving Data Privacy Tuesday, December 17, 2019 — NVIDIA today announced that it will provide the transportation industry with access to its NVIDIA DRIVE™ deep neural networks (DNNs) for autonomous vehicle development on the Developers Also Gain Access to

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NVIDIA Provides U.S. Postal Service AI Technology to Improve Delivery Service

Advanced AI System to Process Package Data 10x Faster with Higher Accuracy Tuesday, November 5, 2019 — GTC DC — NVIDIA today announced that the United States Postal Service – the world’s largest postal service, with 485 million mail pieces processed and delivered daily – is adopting end-to-end AI technology from NVIDIA to improve its package

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Int4 Precision for AI Inference

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. If there’s one constant in AI and deep learning, it’s never-ending optimization to wring every possible bit of performance out of a given platform. Many inference applications benefit from reduced precision, whether it’s mixed precision for recurrent

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Allied Vision Joins NVIDIA Jetson Ecosystem

New Vimba Open Source Driver to Support Jetson TX2 Platform Stadtroda, Germany, November 21, 2019 – Camera manufacturer and image processing expert Allied Vision announced it has become an official member of the NVIDIA Jetson ecosystem and is giving developers on these powerful AI embedded computing systems access to Allied Vision camera modules for industrial

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NVIDIA Announces Jetson Xavier NX, World’s Smallest Supercomputer for AI at the Edge

Latest Addition to Jetson Product Family Brings Xavier Performance to Nano Form Factor for $399 Wednesday, November 6, 2019 – NVIDIA today introduced Jetson Xavier™ NX, the world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge. With a compact form factor smaller than the size of a credit card,

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Automatic Defect Inspection Using the NVIDIA End-to-End Deep Learning Platform

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Quality requirements for manufacturers are increasing to meet customer demands. Manual inspection is usually required to guarantee product quality, but this requires significant cost and can result in production bottlenecks, lowered productivity, and reduced efficiency.  Defect inspection

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Is NVIDIA Moving Toward AI Chipset World Domination?

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. NVIDIA is, by all accounts, the de facto standard in AI chipsets today. In addition to being a chipset manufacturer, NVIDIA offers extra value to its customers by creating derivative products and solutions based on its

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Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This article discusses how an application developer can prototype and deploy deep learning algorithms on hardware like the NVIDIA Jetson Nano Developer Kit with MATLAB. In previous posts, we explored how you can design and train deep learning

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Case Study: ResNet50 with DALI

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Let’s imagine a situation. You buy a brand-new, cutting-edge, Volta-powered DGX-2 server. You’ve done your math right, expecting a 2x performance increase in ResNet50 training over the DGX-1 you had before. You plug it into your rack

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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