Rescale Announces AI Physics at NVIDIA GTC to Transform Simulation Speed and Efficiency
AI Physics on Rescale gives engineers access to the latest technologies to deploy custom AI models for rapid R&D from automotive racing and beyond.
Introducing Rescale Academic Essentials: Turnkey, Multi-Cloud HPC and AI to Advance Higher Ed Research in Science and Engineering
Today, Rescale announced Rescale Academic Essentials, a new offering for higher education institutions to enable scientific, engineering, and other research computing at any scale. This…
Rescale Automates the Deployment of Ansys LS-DYNA and Ansys Fluent Workloads on Amazon EC2 Hpc7g Instances
Rescale is excited to announce that Ansys LS-DYNA and Ansys Fluent workloads are now available to run on Amazon EC2 Hpc7g instances, powered by Arm-based AWS…
October News | Obayashi Pioneers Digital Transformation for the Global Construction Industry with Rescale
By gaining automated access to virtually unlimited computational power, one of the world’s largest construction firms is developing advanced physics simulations to better ensure how buildings and structures perform.
September News | Pioneering the Era of Modular Electric Vehicles with Rescale
Canoo Pioneers the Era of Modular Electric Vehicles With the on-demand ease of the Rescale HPC platform, Canoo is engineering a radically new approach to…
Rescale Launches New Help Center for One-Stop Answers to Customer Questions
New portal provides integrated customer support experience to help customers get faster resolution to their questions about technical error messages or other common support issues.
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Amazon EC2 Hpc7g Offers Breakthrough Capabilities for Computational R&D
With the Rescale platform, organizations have on-demand access to the advanced supercomputing capabilities of AWS HPC for powering their innovation efforts.
Rescale Pioneers a New Approach to High-Throughput Computing
Leading organizations such as Arm are accelerating their R&D efforts with the intelligence and automation of the Rescale platform to tap into the power of multi-cloud supercomputing for running massively parallel workloads.