Nvidia Combines Modulus, Omniverse for Earth-2 and Other Digital Twins

March 22, 2022

An accurate digital twin can be a boon to scientific endeavors, from recreating individual buildings in a city to understand energy use to recreating the Earth’s climate system to understand the effects of policies on climate change. At GTC21, Nvidia made waves by announcing that its Modulus framework for physics-based ML models and its... Read more…

Unlocking Wind’s Potential: Supercomputing’s Grand Challenge

August 30, 2017

A report released last week by the DOE’s National Renewable Energy Laboratory (NREL) asserts that supercomputing-led scientific advances could cut the unsubsidized cost of wind energy in half by the year 2030. Read more…

Wind Farm Simulation Reveals Important Design Clues

January 14, 2015

With renewable energy sources like solar and wind power set to become much more cost-effective over the next ten years according to recent studies out of Finlan Read more…

Supercomputing Drives Wind Power Efficiency

October 9, 2014

Wind power is is on track to achieve cost parity with fossil fuels thanks in part to the open-source software tool Simulator for Wind Farm Applications (SOWFA) Read more…

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Whitepaper

End-to-End Support Toward Accelerating Discovery and Innovation with a Converged HPC and AI Supercomputer

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

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