And with the giant performance leap of the new DGX, machine learning engineers can stay ahead of the exponentially growing size of AI models and data.”A single rack of five DGX A100 systems replaces a data center of AI training and inference infrastructure, with 1/20th the power consumed, 1/25th the space and 1/10th the cost.DGXperts are AI-fluent specialists who can help guide clients on AI deployments, from planning to implementation to ongoing optimization. The entire setup is powered by Nvidia’s DGX software stack, which is optimized for data science workloads and artificial intelligence research.Copyright ©2020 Designtechnica Corporation. NVIDIA DGX-A100, delivers revolutionary performance which allows you to unlock the full potential of NVIDIA Tesla V100, with next generation NVIDIA NVLink and new Tensor Core technology. Nvidia claimed that every single workload will run on every single GPU to swiftly handle data processing. “Across disciplines, our new NVIDIA DGX A100 systems will position our researchers to solve some of our world’s most pressing challenges and equip an entire generation of students with the skills that will revolutionize the future workforce.”The University of Florida will be the first institution of higher learning in the U.S. to receive DGX A100 systems, which it will deploy to infuse AI across its entire curriculum to foster an AI-enabled workforce.Certain statements in this press release including, but not limited to, statements as to: the benefits, performance, features and availability of our products, technologies and services, including NVIDIA DGX A100, NVIDIA A100 Tensor Core GPUs, DGX SuperPOD, NVIDIA Mellanox InfiniBand interconnects, DGX SuperPOD reference architecture, NVIDIA DGXpert program, NVIDIA DGX-Ready Software program, NVSwitch interconnect fabrics, NVLink technology, Mellanox’s In-Network Computing and network acceleration engines, NVIDIA DGX software stack, and NVIDIA DGX-Ready Data Center partners are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. The GA100 GPU, the Tesla A100 is based on, will be the first product based on NVIDIA Ampere architecture. NVIDIA's DGX A100 Trademark Spotted - Powered by The Next-Generation Ampere GA100 Flagship GPU The specific name for the DGX system is DGX A100 which has a lot to say. Digital Realty and Core Scientific Accelerate Global AI Innovation on PlatformDIGITAL Powered by NVIDIA DGX A100 Collaboration with Core Scientific to Deploy Data Hub Featuring NVIDIA DGX A100 … GTC 2020 -- NVIDIA today announced that the first GPU based on the NVIDIA ® Ampere architecture, the NVIDIA A100, is in full production and shipping to customers worldwide.. NVIDIA, the NVIDIA logo, DGX, NVIDIA DGX A100, NVIDIA DGX SuperPOD, NVLink and NVSwitch are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. This performance is equivalent to thousands of servers. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.“We’re using America’s most powerful supercomputers in the fight against COVID-19, running AI models and simulations on the latest technology available, like the NVIDIA DGX A100,” said Rick Stevens, associate laboratory director for Computing, Environment and Life Sciences at Argonne. The inevitable DGX-2 systems would bump the number of A100 GPUs to 16. Buy a DGX A100 NVIDIA and get immediate results and enterprise-grade support. These individuals can help DGX A100 customers build and maintain state-of-the-art AI infrastructure.Thousands of previous-generation DGX systems are in use around the globe by a wide range of public and private organizations.

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