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Engineering the Future Forward
Exploring the latest digital enginering use cases, industry trends, and Rescale platform innovations.
Blog
Exploring the latest digital enginering use cases, industry trends, and Rescale platform innovations.
What the biggest trends of 2026 mean for data and AI leaders and how Rescale…
A redesigned interface that introduces new capabilities for data intelligence, and agentic workflows, and AI…
AI agents can now handle routine simulation tasks while flagging key decision points that require…

Rescale just announced support of Slurm workload manager via a seamless cloud connector, opening up a new path to hybrid-cloud for organizations who use Slurm to manage their on-premises high performance computing (HPC) clusters. Slurm is a popular, open-source workload scheduler that is widely used in two-thirds of the most powerful supercomputers in the world,…

Yesterday the Big Compute 22 virtual event gathered the world’s pioneers in computing-driven innovation including both the technology providers and the practitioners solving the biggest challenges of our time. Rescale and other participants took the stage to showcase new features, capabilities, and industry advancements that are accelerating the pace of innovation. What is Big Compute…

Simulation in the PLM Single Digital Thread Contents1 Simulation in the PLM Single Digital Thread 2 Emergence of Simulation Process and Data Management (SPDM) within the PLM Framework3 Rescale Integrates with Leading PLM and SPDM Platforms4 How to Get Started with Rescale Product lifecycle management, also known as PLM, incorporates data, users, business processes, and software in…

It has been long assumed organizations cannot run sensitive workloads on public cloud infrastructure because of compliance and security standards.

Myth #4: Deploying HPC in the Cloud is Difficult Editor’s note: This is the 4th blog post of the ebook Dispelling the Myths of Cloud HPC. Read the full piece here. Historically, many HPC applications have been challenging to deploy because they depended on custom-built and maintained infrastructure. Each application required a specific environment and dedicated tooling…

Myth #3: The Cloud Can’t Meet HPC Requirements Editor’s note: This is the 3rd blog post of the ebook Dispelling the Myths of Cloud HPC. Read the full piece here. In the early days of cloud HPC (~2010) the only types of processors available were variants of x86 architectures. Today there is now a wide range of…

Today we are excited to announce a set of features that collectively represent a key milestone for cloud operations, and enable a new level of holistic automation only available on Rescale. We call it Intelligent Resource Automation – read the announcement. I’d like to share why this milestone is a major step for the digital…

The Cloud HPC Cost Misconception and Why it Needs to be Busted

Cloud HPC is Going Mainstream. Are These Outdated Misconceptions Holding you Back?

Is your organization focused on digital transformation, but still overlooking R&D and engineering transformation? Digital transformation boils down to the integration of digital technology into all areas of a business, designed to deliver value. Desirable outcomes include reduced operational costs, greater efficiency and productivity, and an enhanced experience for customers and employees. In short, digital…

Pioneering U.S. Aerospace Innovation with FUN3DContents1 Pioneering U.S. Aerospace Innovation with FUN3D2 Maximizing FUN3D Cost-Performance with NVIDIA GPU Technology Platform3 The FUN3D Benchmark4 The FUN3D Software5 The Cloud Hardware6 The Benchmark Results7 Rescale’s Recommendation for FUN3D Users8 How to Get Started with NASA’s FUN3D on Rescale’s High Performance Computing (HPC) Platform FUN3D is a NASA-developed…

Rescale has a unique vantage point on sustainability, given we serve some of the largest engineering-driven companies in the world with High Performance Computing (HPC). Our customers are creating everything from new electric personal aerial transport to commercial nuclear fusion power reactors. We are proud to be powering an engineering renaissance that is creating a…

Rescale, the leader in high performance computing (HPC) built for the cloud, is collaborating with NVIDIA and Microsoft to deliver HPC and artificial intelligence (AI) solutions to help customers power engineering and scientific innovation through increased R&D efficiency. This collaboration builds on Rescale’s existing relationships with Microsoft and NVIDIA. Rescale’s collaboration with Microsoft began in…

Scientific & Engineering Design Evolves from Prototypes to Simulation to AIContents1 Scientific & Engineering Design Evolves from Prototypes to Simulation to AI2 With New Applications of AI for R&D Comes New IT Challenges3 Get Started with NVIDIA Modulus on Rescale Scientific and engineering simulation changed the game by enabling R&D professionals to test design parameters…

How do you choose the best combinations of compute resources to optimize complex HPC simulations? AI Recommendations Are Showing us the Way Forward!Contents1 AI Recommendations Are Showing us the Way Forward!2 Using AI to Optimize Your HPC Simulations3 Using Rescale to Automate Running Any HPC Workload Complex simulations that utilize high-performance computing (HPC) are becoming…

Rescale Expands GCE and GKE Integrations with New Arm-based InstancesContents1 Rescale Expands GCE and GKE Integrations with New Arm-based Instances2 T2A Delivers Cost-Performance Advantages for HPC and HTC Workloads3 The Ecosystem of Arm-Supported Simulation Applications is Growing Rapidly Innovative organizations rely on Rescale to provide the latest cloud technologies to power their scientific and engineering…

OVERVIEW The Case for Benchmarking in Cloud HPC ModernizationContents1 The Case for Benchmarking in Cloud HPC Modernization2 Cloud Options for HPC Innovators Take Off 3 Application Variety and Complexity on the Rise 4 Unlocking Performance Intelligence 5 Realizing Cost-Performance Gains6 A Framework for Better Business Decisions7 Putting Benchmark Intelligence to Work8 Exploring the New Possibilities of Intelligent Computing…

Engineers will always want to run large-scale, high-fidelity simulations as often as possible. How does shifting from on-prem to cloud make dreams into reality? Solving Problems with MDO and HPC CloudContents1 Solving Problems with MDO and HPC Cloud2 Accelerating MDO with Cloud HPC Infrastructure 3 Reduce Infrastructure and Simulation Costs Multidisciplinary design optimization (MDO) uses optimization…

5. Cloud HPC: From Manual to AutomatedContents1 5. Cloud HPC: From Manual to Automated2 HPC Built for the Cloud Enables Digital Transformation and Delivers Measurable Impact3 Customer Spotlight Traditional HPC is Manual The traditional HPC approach is usually script-based and therefore manual for managing engineering workflows and IT operations. There is no easy and fast…

4. The Five Winning Strategies: From Static to Intelligent Traditional HPC is Static Given the traditional tightly-coupled approach to HPC, performance and analytics intelligence was not critical. Configurations, once stable and tuned, we not changed often, and there was no reason to, also giving little reason to invest in software/hardware performance analytics. Maintaining this approach…