httpv://www.youtube.com/watch?v=sbmOsSS2fyg
In this video from the Adaptive Computing booth at SC12, Gabriel Mateescu from Virginia Tech presents: Using Moab Node-sets to Improve Job Scheduling.
Industry Perspectives
AI Critical Measures: Time to Value and Insights
AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights. Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering. [READ MORE…]
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Lenovo Enables Solutions for the ‘New HPC’
The new HPC, inclusive of analytics and AI, and with its wide range of technology components and choices, presents significant challenges to a commercial enterprise. Ultimately, the new HPC brings about opportunities that are worth the challenges. This whitepaper from Lenovo outlines new markets, workloads and technologies in HPC, as well as how its own products and tech are addressing the solution needs of the “new HPC.”
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