A 30-node cluster of GPU-accelerated IBM “Minsky” servers has performed a billion-cell petroleum reservoir simulation in 92 minutes. Previous attempts at this scale required 20 hours using a large supercomputer with thousands of processors.
Fujitsu Laboratories has developed a circuit technology that is said to improve the energy efficiency of deep learning workloads. According to the company, it plans to commercialize the technology in 2018 as part of its Human Centric AI Zinrai initiative.
Simon Fraser University (SFU) has officially launched Canada’s most powerful academic supercomputer. The new 3.6-petaflop system, known as “Cedar,” is just the beginning of a big push by the Canadian government to upgrade the network of its 50 aging HPC machines used to serve the nation’s academic research community.
In a surprise announcement sent out on Wednesday, Intel revealed it will discontinue their biggest tradeshow of the year: the Intel Developer Forum (IDF). The company explained the move as a result of an evolving event calendar that features more targeted product sets.
Rescale, Intel, and R Systems have teamed up to provide an HPC cloud equipped with Intel’s “Knights Landing” Xeon Phi processors and the Omni-Path interconnect. The new platform, known as ScaleX Labs with Intel, is the first to bring this technology duo into the cloud computing realm.
As part of IBM’s continuing effort to expand its AI portfolio, IBM is adding Anaconda, an open source analytics platform, to its Power-based cognitive computing offerings, as well as integrating it into its own PowerAI software distribution.
When a poker-playing AI program developed at Carnegie Mellon university challenged a group of machine learning-savvy engineers and investors in China, the results were the same as when the software went up against professional card players: it beat its human competition like a drum. And that points to AI’s greatest strength, as well as its greatest weakness.