With the increasing number of users, explosion of data rates, advent of virtualization, and cloud computing technologies, the computing burden on the data center is increasing. Enterprise data centers are at a tipping point—the legacy, hyper-converged data center is giving way to a modern, disaggregated IT infrastructure that is secure and accelerated. Today’s data center is increasingly software-defined for security, networking, storage, and management, and IT looks to accelerated comput...| NVIDIA
Powering a new era of computing, NVIDIA today announced that the NVIDIA Blackwell platform has arrived — enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor.| NVIDIA Newsroom
Operating system of the NVIDIA DGX data center| NVIDIA
Our ML trends dashboard showcases key statistics on the trajectory of artificial intelligence, including compute, costs, data, hardware and more.| Epoch AI
To meet the diverse accelerated computing needs of the world’s data centers, NVIDIA today unveiled the NVIDIA MGX™ server specification, which provides system manufacturers with a modular reference architecture to quickly and cost-effectively build more than 100 server variations to suit a wide range of AI, high performance computing and Omniverse applications.| NVIDIA Newsroom
Get an overview of where Dataiku fits in the NVIDIA Enterprise AI Factory, as well as a concrete example of building a visual agent in Dataiku.| blog.dataiku.com