SAN FRANCISCO, March 21, 2022 (GLOBE NEWSWIRE) — Resizethe leader in high-performance computing built for the cloud to accelerate engineering innovation, today announced broader and deeper support for running containers on any cloud and any purpose-built architecture, enabling enterprises to deploy their custom, open-source science and engineering applications with greater simplicity and cost-performance across all hybrid cloud architectures.

Containers are popular for providing portability and efficiency for workloads, but high-performance computing use cases place additional demands on security and parallel processing. Rescale has long supported the use of containers to aggregate the applications and their dependencies needed to run on the best possible architecture, and run these workloads with over 800 applications on Rescale’s always-up-to-date software catalog .

Containers simplify the development and deployment of custom software because they eliminate the complexity of hybrid and multi-cloud deployments and the dependencies that can result from differences in infrastructure environments. Rescale integrates leading container technologies to enable open source collaboration and proprietary application development. The growth of local application development, such as proprietary AI/ML models, has spurred the adoption of containers on Rescale to increase engineering productivity and improve IT control.

Rescale will showcase its rich container support on March 23 from 12:00-12:25 PDT at Nvidia’s GTC conference, the premier showcase for new developments in AI. Register here to watch demos and ask Rescale questions.

Benefits of using Rescale to run containers include:

• Multi-Cloud – Run your containerized apps on any cloud in any region;
• HPC-Optimized – Supports more secure and parallel workloads while optimizing for better performance or cost efficiency;
• Integrated experience – Integrate your container workloads alongside more than 800 commercial and open source scientific and technical applications.

“Organizations powering computational science and engineering with HPC can face daunting complexity challenges,” said Adam McKenzie, CTO and Founder of Rescale. “Containers on Rescale help extend the simplicity and full cloud automation we bring to our customers in containerized workloads. The rapid growth of AI/ML, open source and custom applications is driving convergence with The HPC.Rescale provides a bridge for these technologies to not only run applications, but supercharge them with the latest architectures, whether you care about optimizing cost or speed, while giving IT the security and control you need. he needs.

Customers deploy their containerized workloads to Rescale in the cloud to access greater scale and better performance on alternative infrastructure. Containers also allow IT operations to better support and manage their internal applications seamlessly with their other business applications. From autonomous vehicle testing to industrial manufacturing optimization, Rescale customers accelerate the training of AI/ML models and other proprietary applications using Rescale platforms.

In-house HPC software development is often bespoke and executed with large datasets in on-premises data centers or specific architectures. Containers make those same workloads portable, which is a big plus when customers want performance and price improvements. Containers deliver applications as microservices. These microservices retain their lifecycle as well as service-specific requirements for independent development, granular scaling, patching, and troubleshooting.

Likewise, containers give HPC and AI/ML workloads the benefit of isolated management that includes scaling and development. Scaling containers is a major advantage in HPC, where workloads can increase data processing requirements.

Container capacity scaling advances include:

• High-performance multi-node support for Singularity and Apptainer containers; Docker container support for single node applications;
• ARM architecture support for the latest versions of Singularity (3.9.6);
• High-performance networking, such as InfiniBand using Open MPI;
• Publish containers via resizing templates for collaboration and standardization;
• GPU-optimized NVIDIA containers for seamless integration of world-class AI applications.

Rescale customer AGC, a world leader in glass, ceramics, chemicals and electronic materials manufacturing, founded in 1907, uses containers to support ML and deep learning (DL) capabilities using the cloud provider of their choice. Containers provide the enterprise with the portability and compatibility it needs to run internal applications anywhere. Read more about AGC here.

To learn more about scaling and containers, please explore the following resources:

Backed by investors including Jeff Bezos, Sir Richard Branson, Microsoft, Samsung and NVIDIA, Rescale is accelerating technical breakthroughs across a wide range of industries, enabling scientists and engineers to do more, faster.

About scaling:
Rescale is high-performance computing built for the cloud, empowering engineers while providing IT security and control. From supersonic jets to personalized medicine, industry leaders are bringing new product innovations to market with unprecedented speed and efficiency with Rescale – the cloud-based platform that delivers intelligent full-stack automation and performance optimization . IT managers use Rescale to provide HPC-as-a-Service with a secure control plane to deliver any application, on any architecture, at any scale on the cloud of their choice.

Editorial contact

Lonn Johnston

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+1.650.219.7764