Nvidia Corp. said today ... stack hardware and software needed for AI factories, and guidance on aspects such as the most optimal server, cluster and network configurations. According to Nvidia ...

Cerebras’ WSE-3 has 4 trillion transistors, and staggering amounts of on-chip memory. It has around 9,000 cores, for an estimated 125 petaflops capacity. We reported a while ago on these types of ...

Cisco rolled out a UCS rack server built on the Nvidia HGX platform and introduced plug-and-play infrastructure stacks tailored for specific AI use cases.

However, the chipmaker’s dramatic claim for the performance gains of its GPUs is over a 10-year span, and only applies to one type of calculation. As concerns over AI energy consumption ratchet ...

Whether it’s enabling application experiences, powering autonomous drones or supporting smart infrastructure, NVIDIA AI Aerial helps ensure that the city’s network can meet any demand.