The world’s fastest supercomputers aren’t just faster than ever. They’re smarter and support a greater variety of workloads, too. Nearly 70 percent of the machines, including eight of the top 10, on the latest TOP500 list of the world’s fastest ...

SC20—NVIDIA today introduced the next generation of NVIDIA® Mellanox® 400G InfiniBand, giving AI developers and scientific researchers the fastest networking performance available to take on the world’s most challenging problems.

SC20—NVIDIA today unveiled the NVIDIA® A100 80GB GPU — the latest innovation powering the NVIDIA HGX™ AI supercomputing platform — with twice the memory of its predecessor, providing researchers and engineers unprecedented speed and performance to ...

SC20—NVIDIA today announced the NVIDIA DGX Station™ A100 — the world’s only petascale workgroup server. The second generation of the groundbreaking AI system, DGX Station A100 accelerates demanding machine learning and data science workloads for ...

No traveling for work? No problem — at least not for character concept artist Furio Tedeschi. Tedeschi has worked on films like Transformers and Bumblebee: The Movie, as well as games like Mass Effect: Andromeda from Bioware. Currently, he’s working ...

NVIDIA and Hyundai Motor Group today announced that the automaker’s entire lineup of Hyundai, Kia and Genesis models will come standard with NVIDIA DRIVE™ in-vehicle infotainment systems starting in 2022.

From its entry-level vehicles to premium ones, Hyundai Motor Group will deliver the latest in AI-powered convenience and safety to every new customer. The leading global auto group, which produces more than 7 million vehicles a year, announced today ...

NVIDIA today announced that it has named to its board of directors Aarti Shah, who serves as senior vice president and chief information ...

Texas A The post Accelerating Research: Texas A&M Launching Grace Supercomputer for up to 20x Boost appeared first on The Official NVIDIA Blog.

Amazon Web Services’ first GPU instance debuted 10 years ago, with the NVIDIA M2050. At that time, CUDA-based applications were focused primarily on accelerating scientific simulations, with the rise of AI and deep learning still a ways off. Since ...