Radium aims to accelerate AI and ML jobs in cloud data centers


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Today, radium, a startup that wants to use artificial intelligence and machine learning to extract more computing power from cloud hardware, announced that it will exit stealth mode and its solutions for Cloud data centers operated by Cyxtera in Toronto, Greater New York and New Jersey, and Silicon Valley.

The main product launchpad allows users to start and end projects Raw metal Machines, eliminating the extra layers of hypervisors and virtualization software. Radium offered benchmark tests for machine learning jobs that showed speed increases of between 30% and 140%.

“Our initial tests show that bare metal servers provide a good cloud computing platform for the powerful deep learning and inference workloads required for this type of application,” said Srinivasa Narasimhan, professor …


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