HPC Software Application Containers
Rescale maximizes the value of containers for HPC, giving you the best of cloud performance seamlessly integrated with your existing applications.
Benefits of Deploying HPC Containers on Rescale
Run your containerized workloads on any cloud in any region with a single click without complex configuration
Support more secure and parallel workloads while optimizing for best performance or cost efficiency
Integrate container workflows alongside 800+ commercial & open source science and engineering applications
Manage All Your Applications From a Single Control Plane
Engineers are utilizing more specialized applications that demand greater computing resources and more collaboration. Bringing your containers to Rescale provides a user-friendly method to manage any application, at any scale, in one place.
Rescale supports leading HPC container environments like Singularity, Apptainer, and Docker, making deploying your existing applications in the cloud easier than ever.
Seamlessly access a broad set of custom, open-source, and commercial software to with native integration of leading simulation and AI/ML tools optimized for the cloud.
IT Security and Control
Ensure custom applications are secured from end-to-end and control application data and infrastructure access from a single pane of glass.
AGC Unleashes Engineering Potential
with HPC Containers in the Cloud
Rescale customer AGC, a global leader in glass, ceramic, chemicals and electronics materials manufacturing, founded in 1907, uses containers to support ML and Deep Learning (DL) capabilities using their cloud provider of choice. Containers give the company the portability and compatibility they need to run in-house applications anywhere.
Advanced Container Capabilities on Rescale
- Multi-node high performance support for Singularity and Apptainer containers; Docker container support for single node applications
- ARM architecture support for the latest Singularity versions (3.9.6)
- High-performance networking, such as InfiniBand using Open MPI
- Container publishing via Rescale Templates for collaboration and standardization
- NVIDIA GPU-optimized containers for seamless integration of world-class AI applications
Containers for Engineering and Scientific Computing
Containers are increasingly being used by engineers and scientists to streamline custom software development and deployment. As organizations’ need for specialized applications and high performance computing containers simplify the complexity of hybrid and multi cloud deployments and issues that can arise from differences in host operating systems. Other benefits of using containers include application portability, security, collaboration, and sometimes performance. The key motivation to bring containerized applications into multi-cloud environments is for access to greater scale and better performance by accessing the latest computing architectures. Containers may also make it easier for IT orgs to better support, manage, and secure their variety of applications from a single pane of glass.
Explore More CAE & MDO Resources
Going to the Moon By Way of the Cloud – New York Times
Case Study – AZothBio Accelerates New Drug Discovery Using Deep Learning on Rescale
Sensatek Empowers R&D Innovation with Rescale
“We have a variety of specific and intensive compute requirements that Rescale was able to optimize by helping us determine the cost-performant hardware for the workloads we run. Rescale was able to help use dynamically allocate and maximize our HPC resources, ultimately reducing our projected 2,200 simulation hours down to 300, or 9 months of work down to 2 months.”
Josh McConkey, CTO
“Rescale gives us compliance, control, and economic visibility with the best of the cloud, allowing us to work quickly, efficiently and in parallel with each other.”
Bissell Smith, CIO & EVP
“Rescale was able to optimize our bespoke application and give us access to flexible cloud resources to rapidly run large simulations, enabling us to maximize our compute investments for wind farm analyses.”
Paul Housley, Technical Analysis Team Manager