Sam Mahalingam, Chief Technical Officer at Altair, thinks much of the value of exascale computing will be provided by machine learning and other data-driven techniques.
Firemap, a predictive modeling and mapping tool developed to track wildfires, is being used by California residents and first responders to help them deal with the deadliest wildfires in the state’s history.
Google has announced it is scaling up its cloud computing offerings with a new machine type that provides up to 96 virtual CPUs (cores) and 624 GB of memory.
Intel has developed a 17-qubit quantum computing chip, which the company has delivered to QuTech, its research partner in the Netherlands.
The National Institute of Advanced Industrial Science and Technology (AIST) in Tokyo has selected Fujitsu to construct the AI Bridging Cloud Infrastructure (ABCI). The system will deliver 37 double precision petaflops and will be the fastest supercomputer in Japan when it begins operations in 2018.
A team of supercomputer programmers at Lawrence Livermore National Laboratory (LLNL) is working with Procter & Gamble to help the company design better paper products.
Tri Alpha Energy (TAE) is on a mission is to build the world’s first commercially viable fusion reactor. But to do that, the Orange County-based startup thinks it will need exascale supercomputers.
Oracle announced it is now offering NVIDIA’s P100 GPU instances in its public cloud, with plans to add the more powerful V100 GPUs in the near future.
Intel has announced its first full-fledged FPGA card for accelerating datacenter workloads. Known as the Intel Programmable Acceleration Card, or PAC for short, the device is powered by the Arria 10 GX FPGA.
On Monday, Cray announced it had completed the acquisition of Seagate’s ClusterStor business and would begin transitioning the new storage line into its array of HPC offerings.
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