Fujitsu Bets On Deep Leaning And HPC Divergence
One of the luckiest coincidences in the past decade has been that the hybrid machines designed for traditional HPC simulation and modeling workloads. which combined the serial processing performance of CPUs and the parallel processing and massive memory bandwidth of GPUs, we also well suited to run machine learning training applications.
If the HPC community had not made the investments in hybrid architectures, the hyperscalers and their massive machine learning operations, which drive just about all aspects of their businesses these days, would not have seen such stellar results. (And had that not happen, many of us would have had …
Fujitsu Bets On Deep Leaning And HPC Divergence was written by Timothy Prickett Morgan at The Next Platform.