Pure Storage, NVIDIA Trot Out Artificial Intelligence Workhorse
Artificial intelligence (AI) algorithms, deep-learning models and neural networks need high-performance computing to train on massive amounts of data, in order to deliver game-changing insights for businesses. Sounds like a heavy load. Today, Pure Storage and NVIDIA announced a workhorse called AIRI, an acronym for AI-ready infrastructure, to carry this load.
AIRI combines hardware and software tuned for AI workloads and data requirements. Specifically, AIRI consists of four NVIDIA DGX-1 supercomputers and Pure Storage FlashBlade interconnected with Arista 100GbE switches, and NVIDIA GPU Cloud deep learning stack and Pure Storage AIRI Scaling Toolkit.
With a pre-integrated solution, data scientists can start AI simulations in hours instead of weeks and months under conventional means, Pure Storage claims. One customer that runs a single simulation a month, a dozen in a year, plans to run a simulation every week, or 48 a year, with AIRI, Matt Burr, vice president of sales at Pure Storage, told Channel Futures.
As companies begin to take AI seriously, data scientists will need a lot more on-premise processing power. How much is a lot? Last December, a machine-learning engine, called AlphaZero, learned how to play chess by playing 44 million games in nine hours and then beat the world-champion chess program Stockfish.
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