A research team at the Massachusetts Institute of Technology (MIT) has come up with a novel approach to deep learning that uses a nanophotonic processor, which they claim can vastly improve the performance and energy efficiency for processing artificial neural networks.
When assessing the fastest supercomputers in the world, system performance is king, while the I/O componentry that feeds these computational beasts often escapes notice. But a small group of storage devotees working on a project at the Virtual Institute for I/O (VI4IO) want to change that.
IBM and its partners have developed a novel technology to build 5nm chips, based on silicon nanosheet transistors. Compared to 10nm chips using FinFET transistors, the new technology promises to deliver a 40 percent performance increase, a 75 percent power savings, or some combination of the two.
IBM has announced its World Community Grid project is now hosted on the company’s own Bluemix cloud. The grid supports scientific research into societal problems affecting human health, energy, and the environment.
NVIDIA is hooking up with four of the world’s largest original design manufacturers (ODMs) to help accelerate adoption of its GPUs into hyperscale datacenters. The new partner program would give Foxconn, Inventec, Quanta and Wistron early access to the HGX reference architecture, NVIDIA’s server design for machine learning acceleration.