During Rescale’s Big Compute 2022 Virtual Event, they announced Rescale is teaming up with NVIDIA to integrate the NVIDIA AI platform into Rescale’s HPC-as-a-Service offering. The integration is designed to advance computational engineering simulation with AI and ML, enabling enterprises to commercialize product innovations faster, more efficiently, and at a better price point.
During Rescale’s Big Compute 2022 Virtual Event, they announced Rescale is teaming up with NVIDIA to integrate the NVIDIA AI platform into Rescale’s HPC-as-a-Service offering. The integration is designed to advance computational engineering simulation with AI and ML, enabling enterprises to commercialize product innovations faster, more efficiently, and at a better price point.
Rescale also announced the world’s first Compute Recommendation Engine (CRE) to power Intelligent Computing for HPC and AI workloads. Optimizing workload performance is complex as organizations balance decisions among architectures, geographic regions, price points, scalability, service levels, compliance, and sustainability. Rescale CRE was developed using ML on NVIDIA architectures with infrastructure telemetry, industry benchmarks, and full-stack metadata spanning over 100 Million production HPC workloads. NVIDIA is also accelerating Rescale CRE.
Rescale CRE enables customers to identify the right infrastructure options to optimize cost and speed objectives. Customers can choose to run the workload faster, at the lowest cost, or the right balance between the two using a broad set of policy-based enterprise controls.
Expanding HPC in the cloud with NVIDIA AI
Rescale will add the NVIDIA AI Enterprise software suite enabling organizations to leverage the power of HPC and AI on its platform supported on all leading clouds. Additionally, NVIDIA Modulus, a physics-ML framework, is now available on Rescale with just a few clicks. With NVIDIA Modulus, customers can run their entire AI-driven simulation workflow on the Rescale platform, from data preprocessing and model training to inference and model deployment.
Rescale’s software catalog provides access to hundreds of NVIDIA containerized HPC applications and pre-trained AI models on NVIDIA NGC. Customers can run simulations on demand and scale up or down as needed. Rescale also integrates NVIDIA Base Command Platform software to orchestrate workloads across clouds and on-premises NVIDIA DGX systems.
Optimize workloads with CRE
Currently, 78 percent of organizations have used the cloud for computational science and engineering, and R&D organizations that have easy access to computing at scale are up to 60 percent more likely to achieve their goals on budget than those that do not, according to the 2022 State of Computational Engineering Report.
Most companies in the aerospace and automotive verticals already use computational engineering to perform broad design space exploration to develop future product designs. Rescale’s Intelligent Computing fabric, powered by the Compute Recommendation Engine, automatically and optimally runs computational engineering and AI workloads anywhere in
Rescale’s global multi-cloud infrastructure, accelerated by NVIDIA computing and software. This timely development facilitates the increasing use of AI-driven approaches in computational science and engineering methods.
Rescale’s HPC-as-a-service platform is accelerated by NVIDIA on leading cloud service provider platforms, including Microsoft Azure and Oracle Cloud Infrastructure.
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