There is increasing competition coming at Nvidia in the AI training and inference market, and at the same time, researchers at Google, Cerebras, and SambaNova are showing off the benefits of porting sections of traditional HPC simulation and modeling code to their matrix math engines, and Intel is probably not far behind with its Habana Gaudi chips. …
In the next few months, Big Blue will launch its entry and midrange Power10 servers, and to be blunt, we are not sure what the HPC and AI angle is going to be for these systems. …
The nexus of traditional high performance computing and artificial intelligence is a fact, not a theory, and the exascale-class machinery installed in the United States, Europe, China, and Japan will be a showcase for how these two powerful simulation and analytical prediction techniques can be brought together in many different ways. …
If you were going to build an electronic brain in 2022, it might look something like the Neocortex supercomputer at the Pittsburgh Supercomputing Center at Carnegie Mellon University. …
When Nvidia announced a deal to buy Mellanox Technologies for $6.9 billion in March 2019, everyone spent a lot of time thinking about the synergies between the two companies and how networking was going to become an increasingly important part of the distributed systems that run HPC and AI workloads. …
With each passing generation of GPU accelerator engines from Nvidia, machine learning drives more and more of the architectural choices and changes and traditional HPC simulation and modeling drives less and less. …
It is the nature of capability class supercomputers to try to push the envelope on as many different architectural fronts as possible. …
Within a year or so, with the launch of the “Grace” Arm server CPUs, it will not be heresy for anyone at Nvidia to believe, or to say out loud, that not every workload in the datacenter needs to have GPU acceleration. …
Normally, when we look at a system, we think from the compute engines at a very fine detail and then work our way out across the intricacies of the nodes and then the interconnect and software stack that scales it across the nodes into a distributed computing platform. …
Object storage has been drawing an increasing level of interest from organizations over the past several years as a convenient way to store and manage the growing quantities of data they are accumulating, especially when that may be a mix of structured and unstructured data and a lot of machine-generated telemetry. …
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