The Massachusetts Institute of Technology is investing $1 billion dollars to create a new AI-Centric College of Computing that is being cast as the Institute’s “most significant structural change since 1950.”
NVIDIA has announced a set of open-source libraries intended to bring GPU acceleration to a wide swathe of data analytics applications. The new software suite has attracted support from IBM, HPE, Oracle and a number of other key providers.
Škoda Auto is planning to increase it computational capacity to 15 petaflops, making it the owner of the most powerful privately owned HPC infrastructure in the Czech Republic.
Researchers from the University of the Basque Country claim they have successfully mimicked Darwinian evolution using a quantum computer.
DataDirect Networks (DDN) has launched a trio of specialized storage appliances that are designed to support the data needs of NVIDIA DGX-1 servers running artificial intelligence and deep learning workloads.
Intel has expanded its Programmer Accelerator Card (PAC) portfolio with a new product based on the top-of-the-line Stratix 10 SX FPGA.
The Leibniz Supercomputing Centre (LRZ) has flipped the switch on the 26.7-petaflop SuperMUC-NG, making it Germany’s highest-performing HPC machine.
Microsoft is introducing yet another set of high-performance Azure instances for its HPC and AI customers.
In an effort to improve AI transparency, IBM has introduced an open source toolkit that provides algorithms that can detect and mitigate bias in machine learning applications.
Cray has announced two new XC50 supercomputers that were purchased by research organizations in Japan and South Korea.
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