With new GPU-ready containers and server infrastructure, organizations are simplifying the deployment of artificial intelligence applications and the clusters they run on. Regardless of the domains they work in, researchers, data scientists and developers want to focus on the work they do, not the systems and tools they use to run their workloads. While that’s a simple proposition, the reality on the ground is often far removed from this ideal world. Those who have built artificial intelligence and other high-performance computing applications from the ground up — starting with bare-metal servers, computing frameworks, software libraries and … READ MORE
Source: Dell Blog
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