United Kingdom Investing $273 Million in AI Supercomputing

The UK government plans to invest at least £225 million (about $273 million) in AI supercomputing with the aim of bringing Great Britain into closer parity with AI leaders the U.S. and China. Among the new machines coming online is Dawn, which was built by the University of Cambridge Research Computing Services, Intel and Dell and is being hosted by the Cambridge Open Zettascale Lab. “Dawn Phase 1 represents a huge step forward in AI and simulation capability for the UK, deployed and ready to use now,” said Dr. Paul Calleja, director of Research Computing at Cambridge. Continue reading United Kingdom Investing $273 Million in AI Supercomputing

Germany, UK to Host Europe’s First Exascale Supercomputers

Europe is moving forward in the supercomputer space, with two new exascale machines set to come online. Jupiter will be installed at the Jülich Supercomputing Centre in Munich, with assembly set to start as early as Q1 2024. Scotland will be home to the UK’s first exascale supercomputer, to be hosted at the University of Edinburgh, with installation commencing in 2025. An exascale supercomputer can run calculations at speeds of one exaflop (1,000 petaflops) or greater. On completion, these two new supercomputers will land in the top percent of the world’s high-performers. Continue reading Germany, UK to Host Europe’s First Exascale Supercomputers

Cerebras Chip Tech to Advance Neural Networks, AI Models

Deep learning requires a complicated neural network composed of computers wired together into clusters at data centers, with cross-chip communication using a lot of energy and slowing down the process. Cerebras has a different approach. Instead of making chips by printing dozens of them onto a large silicon wafer and then cutting them out and wiring them to each other, it is making the largest computer chip in the world, the size of a dinner plate. Texas Instruments tried this approach in the 1960s but ran into problems. Continue reading Cerebras Chip Tech to Advance Neural Networks, AI Models