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 […]
Is NVIDIA Moving Toward AI Chipset World Domination? Read More +
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
Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB Read More +
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
Case Study: ResNet50 with DALI Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. SLAM is a commonly used method to help robots map areas and find their way. To get around, robots need a little help from maps, just like the rest of us. Just like humans, bots can’t always
What Is Simultaneous Localization and Mapping? Read More +
From 8 hours to 80 seconds: NVIDIA smashes AI training time. Only company to submit across all six categories. You can’t be first if you’re not fast. Inside the world’s top companies, teams of researchers and data scientists are creating ever more complex AI models, which need to be trained, fast. That’s why leadership in
NVIDIA Breaks Eight AI Performance Records Read More +
NVIDIA, Intel, NXP, Apple, and Google top the A-List in AI Chipset Index based on recently released research by Compass Intelligence. The 2019 A-List in AI (artificial intelligence) Chipset Index includes companies providing software and hardware components of AI chipsets. AI chipset products include central processing units, graphic processing units, neural network processors, application specific
Best-In-Class Performance, Power Efficiency, Plus Real-Time Ray Tracing for Growing Wave of Blockbuster Games SANTA CLARA, Calif., July 02, 2019 – NVIDIA today supercharged its lineup of gaming GPUs by introducing GeForce® RTX 2060 SUPER™, GeForce RTX 2070 SUPER and GeForce RTX 2080 SUPER — delivering best-in-class gaming performance and real time ray tracing for
With Great Power Comes Great Gaming: NVIDIA Launches GeForce RTX SUPER Series Read More +
Global HPC Leaders Join to Support New Platform June 17, 2019 — International Supercomputing Conference — NVIDIA today announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers. NVIDIA is making available to the Arm® ecosystem its full stack of AI and HPC software —
NVIDIA Brings CUDA to Arm, Enabling New Path to Exascale Supercomputing Read More +
Leading Computer Makers Adopt NVIDIA EGX Platform, Offering GPU Edge Servers for Instant AI on Real-Time Streaming Data in Telecom, Healthcare, Manufacturing, Retail, Transportation Monday, May 27, 2019 – Computex — NVIDIA today announced NVIDIA EGX, an accelerated computing platform that enables companies to perform low-latency AI at the edge — to perceive, understand and act in
NVIDIA Launches Edge Computing Platform to Bring Real-Time AI to Global Industries Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Detailing the building blocks of autonomous driving, new NVIDIA DRIVE Labs video series provides an inside look at DRIVE software. Editor’s note: No one developer or company has yet succeeded in creating a fully autonomous vehicle. But
DRIVE Labs: How We’re Building Path Perception for Autonomous Vehicles Read More +
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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