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World’s Top System Makers Unveil NVIDIA A100-Powered Servers to Accelerate AI, Data Science and Scientific Computing

Cisco, Dell Technologies, HPE, Inspur, Lenovo, Supermicro Announce Systems Coming This Summer Monday, June 22, 2020—ISC Digital—NVIDIA and the world’s leading server manufacturers today announced NVIDIA A100-powered systems in a variety of designs and configurations to tackle the most complex challenges in AI, data science and scientific computing. More than 50 A100-powered servers from leading …

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Best AI Processor: NVIDIA Jetson Nano Wins 2020 Vision Product of the Year Award

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Compact yet powerful computer for AI at the edge recognized by the Edge AI and Vision Alliance. The small but mighty NVIDIA Jetson Nano has added yet another accolade to the company’s armory of awards. The Edge …

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CUDA Refresher: Getting Started with CUDA

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is the second post in the CUDA Refresher series, which has the goal of refreshing key concepts in CUDA, tools, and optimization for beginning or intermediate developers. Advancements in science and business drive an insatiable demand …

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CUDA Refresher: Reviewing the Origins of GPU Computing

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is the first post in the CUDA Refresher series, which has the goal of refreshing key concepts in CUDA, tools, and optimization for beginning or intermediate developers. Scientific discovery and business analytics drive an insatiable demand …

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2020 Vision Product of the Year Award Winner Showcase: NVIDIA (AI Processors)

NVIDIA’s Jetson Nano is the 2020 Vision Product of the Year Award Winner in the AI Processors category. NVIDIA’s Jetson Nano delivers the power of modern AI in the smallest supercomputer for embedded and IoT. Jetson Nano is a small form factor, power-efficient, low-cost and production-ready System on Module (SOM) and Developer Kit that opens …

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NVIDIA’s New Ampere Data Center GPU in Full Production

New NVIDIA A100 GPU Boosts AI Training and Inference up to 20x; NVIDIA’s First Elastic, Multi-Instance GPU Unifies Data Analytics, Training and Inference; Adopted by World’s Top Cloud Providers and Server Makers SANTA CLARA, Calif., May 14, 2020 (GLOBE NEWSWIRE) — NVIDIA today announced that the first GPU based on the NVIDIA® Ampere architecture, the …

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NVIDIA EGX Edge AI Platform Brings Real-Time AI to Manufacturing, Retail, Telco, Healthcare and Other Industries

Ecosystem Expands with EGX A100 and EGX Jetson Xavier NX  Supported by AI-Optimized, Cloud-Native, Secure Software to Power New Wave of 5G and Robotics Applications SANTA CLARA, Calif., May 14, 2020 (GLOBE NEWSWIRE) — NVIDIA today announced two powerful products for its EGX Edge AI platform — the EGX A100 for larger commercial off-the-shelf servers …

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NVIDIA Releases Jetson Xavier NX Developer Kit with Cloud-Native Support

Cloud-Native Support Comes to Entire Jetson Platform Lineup, Making It Easier to Build, Deploy and Manage AI at the Edge Thursday, May 14, 2020—GTC 2020—NVIDIA today announced availability of the NVIDIA® Jetson Xavier™ NX developer kit with cloud-native support — and the extension of this support to the entire NVIDIA Jetson™ edge computing lineup for …

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Training with Custom Pretrained Models Using the NVIDIA Transfer Learning Toolkit

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Supervised training of deep neural networks is now a common method of creating AI applications. To achieve accurate AI for your application, you generally need a very large dataset especially if you create… Training with Custom Pretrained Models …

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Speeding Up Deep Learning Inference Using TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is an updated version of How to Speed Up Deep Learning Inference Using TensorRT. This version starts from a PyTorch model instead of the ONNX model, upgrades the sample application to use… Speeding Up Deep Learning Inference …

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