February 2024 Summaries

Members of the Rescale Public Sector team attended the Advantage DoD 24: Defense Data & AI Symposium in Washington, DC, an event organized by the Department of Defense’s Chief Digital and Artificial Intelligence Office. This gathering emphasized the importance of adopting cutting-edge technology as a practical challenge rather than a policy issue, highlighting the need for efficient and responsible deployment of data and AI capabilities to maintain the U.S. military's technological edge. Keynote speeches and discussions, including those by Deputy Secretary of Defense Kath Hicks and Chief Digital & AI Officer Craig Martell, underscored the alignment among government, academia, and industry on the necessity of technological advancement, focusing on the "how" of implementation rather than the "why." The symposium offered a platform for innovative companies, such as Rescale, to engage directly with DoD users and contribute to mission success by iterating on their solutions. Despite the progress made, the event also recognized the ongoing work needed to fully leverage policy alignment into actionable outcomes, as stakeholders from diverse sectors increasingly collaborate to address the challenges posed by the current geopolitical climate.

Rescale, a company focused on high-performance computing (HPC) in the cloud, is collaborating with GM Motorsports to use AI Physics and NVIDIA technologies for enhanced F1 vehicle aerodynamics analysis, promising faster design iterations and improved efficiency compared to traditional simulation methods. The company actively engages in discussions and events about the integration and implications of digital twins, AI, and HPC across various industries, such as the upcoming NVIDIA GTC 2024 and several other international conferences. Rescale also provides a wide range of on-demand engineering and scientific computing software, constantly updating its offerings to include the latest hardware innovations like Intel Ice Lake and AMD EPYC chips. The company emphasizes simulation traceability and metadata management to improve data quality and decision-making processes, offering resources like webinars and expert panels to further explore these technologies.

Engineering and scientific teams are leveraging real and synthetic data, machine learning, and AI, alongside physics-based simulations, to accelerate innovation, but the rapid pace of product development necessitates a focus on regulatory compliance, quality, and user safety. To balance speed with these critical factors, companies must implement robust simulation data governance to ensure reliability, reproducibility, and traceability, which in turn enhances the entire product development process beyond just concept innovation. Effective governance must not hinder R&D velocity, but rather integrate seamlessly with engineering and scientific workflows, offering flexible data management solutions that cater to the unique complexities of simulation data, which spans diverse formats and volumes. The challenges posed by fragmented and disconnected data silos, which can delay decision-making and increase risk, highlight the need for integrated data management approaches that ensure data security and compliance with industry standards. Inconsistent simulation results, lack of compliance, and potential product quality issues underscore the business risks of ungoverned simulation data, necessitating structured governance to maintain data quality and support engineering productivity. Simulation governance involves establishing processes and standards that enhance the reliability and credibility of simulation outcomes, thereby supporting informed decision-making, minimizing compliance risks, and boosting innovation.