Viewing posts from October, 2017
Purchasing HPC hardware and software, as well as time spent developing and supporting applications, involve numerous options and trade-offs, meaning that making optimal decisions is far from easy. In a conversation with NAG's Andrew Jones, James Reinders describes what those options and trade-offs are and how managers can reach the best decisions on how to invest.
Amazon has created three new EC2 instances based on NVIDIA’s Volta V100 GPU, making them the first public cloud provider to offer the blazingly fast accelerators.
NEC Corporation has launched SX-Aurora TSUBASA, the company’s latest vector-based product line for high performance computing.
A report this week in the New York Times describes how the growing demand for AI is forcing big web companies to ratchet up salaries in this red-hot job category and sucking up all available talent. But the technology itself may provide the final solution.
Cray and Microsoft have announced a new HPC cloud solution that brings dedicated supercomputers into Azure datacenters.
Google’s DeepMind team has reinvented AlphaGo, and this latest iteration was able to resoundingly beat the previous version that defeated Go champ Lee Sedol in 2016, by a score of 100 to 0.
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.
In an editorial posted on Intel’s news site, Intel CEO Brian Krzanich announced they would be releasing the company’s first AI processor before the end of 2017. The new chip, formally codenamed “Lake Crest,” will be officially known as the Nervana Neural Network Processor, or NNP, for short.
Intel Ramps Up Neuromorphic Computing Effort with New Research Partners
UC Berkeley, Intel Explore Potential Replacement for CMOS Technology
IBM Takes Aim at Reduced Precision for New Generation of AI Chips
DeepMind Stops Playing Games, Debuts AI Software for Predicting Protein Structures