Here you will find all the articles with the tag: AI workloads.
Nvidia will be well aware of the huge demand that exists for AI-capable hardware. DGX Cloud will now allow customers to run AI workloads for a monthly rent, avoiding the immense cost of a dedicated AI supercomputer. Nvidia has an issue that it will be happy to face. Demand for its GPUs is huge b... Read more
9 months ago
Cisco is coming out with two new SiliconOne processors. The processors should form the basis for an AI or machine learning (ML) infrastructure. The two new Cisco SiliconOne processors, the 5-nanometer 51.2Tbps SiliconOne G200 and the 25.6Tbps G202 recently became part of the larger SiliconOne pr... Read more
10 months ago
Every year at Computex, we are bound to see a healthy amount of announcements surrounding new technology. As we are seeing more often this year, it is teeming with AI developments. This time we turn to Nvidia, Intel and Qualcomm to see what they are up to when it comes to AI hardware and applicatio... Read more
11 months ago
Meta recently introduced its own processors,a data center design and a supercomputer for AI workloads. With this, the tech giant wants to get a piece of the pie when it comes to AI solutions and applications, but also maintain control. Meta is feeling the pressure from other tech giants when it ... Read more
11 months ago
The VAST DATA enterprise NAS platform is now officially approved as a storage platform for Nvidia's DGX SuperPOD AI development platform. According to VAST DATA, its platform is the first NAS solution declared suitable for processing large volumes of AI and deep learning workloads. According to ... Read more
11 months ago
AI hardware accelerators are some of the most potent tools we can use for scientific discovery. However, they are not energy efficient. Now, IBM Research, claims that it has identified a new way of tackling this problem. During the IEEE CAS/ADS AI Compute Symposium IBM Research unveiled new par... Read more
4 years ago
