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Edison Node: Custom AI Steps in Your Workflows

Workflows now include a new node type — the Edison Node — that lets you add a custom AI step to any workflow. Instead of being limited to the pre-built agent nodes (Input Validator, Deck Validator, Troubleshooter), you can write your own prompt, pick which agent to invoke, and attach specific Connectors or Agentic Projects to shape how Edison responds.

Use Rescale agents from Claude, ChatGPT, and other AI assistants

If your workspace has Agentic Engineering, you can now use Rescale agents from the AI assistant you already work in. Connect Rescale to Claude, ChatGPT, Cursor, or Codex and ask “Have Rescale identify why the job [JOB_ID] failed.” Your request goes to Rescale Edison, Rescale’s AI Assistant, which hands it to the right agent, such as Job Troubleshooter, and returns the answer to your conversation.

Rescale MCP Connector for Anthropic Claude

Rescale is now in the Claude Connectors Directory. Add it, sign in with your Rescale account, and ask Claude to find past jobs, explain why a run failed, prepare and submit a simulation, or manage a workstation, all from the conversation you’re already in. With the Agentic Engineering product, Claude can also pass tasks to Rescale Edison, Rescale’s AI Assistant, which hands them to agents such as Job Troubleshooter and brings their answers back into the conversation.

Windows Server 2025 Support for Jobs and Workstations (Private Beta)

Windows Server 2025 is available for jobs and workstations on both AWS and Azure, giving Windows-based simulations a path off the end-of-life Windows Server 2019 image. Software that has already dropped support for Windows Server 2019 can now run on Rescale. Windows Server 2019 stays available side by side with 2025, so nothing changes for existing workflows unless you choose to move.

Agentic Projects for project knowledge that carries across sessions and teams

Edison chats used to start cold: engineers re-explained the solver, the baseline jobs, the acceptance criteria and the known gotchas every time. Agentic Projects hold that context in one place to use across sessions. Attach a project to a chat and Edison, plus every agent it calls, starts with the project’s objective, standards, golden jobs (proven jobs with validated inputs and results, used as a baseline for future job configurations), report template and learnings, so the next session, or the next engineer, picks up where the last one left off.

Cluster Metrics

You can now see how a job uses cluster resources directly on the job status page. Cluster Metrics shows CPU, GPU, memory, storage, and network usage, live while the job runs and still there after it completes.

Meet Rescale Edison: Your AI Assistant for HPC and Agentic Engineering

The Rescale Assistant is now Rescale Edison. Click Work with Edison from any page to help you run your processes. With Edison now you can save your processes as workflows so they are easier to run in the future. You can ask Edison about your jobs, files, results, or spending to get specific answers directly in the chat. Your conversations stay with you as you move between pages, so you can ask about a failed job, open it, and keep going without starting over.

AI Physics Auto Tune for Faster, Better Surrogate Model Training

Training a high-accuracy surrogate model used to mean manually creating models one at a time, tweaking hyperparameters, and comparing results — a process that could take weeks. Auto Tune changes that: you set a time budget, and Auto Tune automatically explores multiple hyperparameter configurations in parallel, drops weak candidates early, and delivers the best model. It works with all four production-ready architectures (DoMINO, TwoStreamTransformer, GeoTransolver, and MeshGraphNet) and is designed for simulation engineers — no machine learning expertise required.

Workflow Templates from Rescale

Getting started with Rescale Workflows just got easier. Workflow templates have been available for building, sharing, and running reusable multi-step simulation pipelines. You can now create new workflows from Rescale-provided templates that cover the most common simulation pipeline patterns — parallel processing, dynamic hardware routing, centralized admin configuration, and AI-agent-enhanced validation. Browse templates directly in the workflow creation flow, run them as-is with your own inputs, or duplicate and customize them to fit your specific needs.

AI Credits Dashboards for Admins

Engineers use AI Credits when talking to the Assistant or using an agent to help them complete their work, and when training AI Physics models. Admins can now see exactly where their AI Credits are going. Two new admin pages show the workspace credit balance for each product, how it has been spent day by day, which users are spending it, and the details of every credit on the account — so you can spot a fast burn rate weeks before anyone gets blocked mid-task.

Scheduled Maintenance Windows for License Servers

Organization administrators can now choose when Rescale applies operating system security updates to their Company License Proxies. Patching a proxy sometimes requires it to reboot, which briefly interrupts license traffic passing through it. Setting a maintenance window puts that interruption on a weekly schedule you pick, rather than leaving it to an arbitrary hour.

License Hosts have supported maintenance windows since August 2025. This release brings the same control to Company License Proxies.

AI Physics OS Now Supports Transient FEA Use Cases Such as Crash

The Rescale AI Physics OS now supports transient finite element analysis (FEA) use cases, including crash simulations. Engineers can train surrogate models that predict structural response across every time step of a transient simulation — unlocking one of the most computationally demanding simulation types as a target for AI acceleration.

Knowledge Bases for Deeper Insights from External Engineering Data Sources

Data connectors now support knowledge bases for connected data sources. When enabled, your engineering documents are automatically indexed and made available to the Rescale AI Assistant, so you can ask questions in natural language and get answers grounded in your own data, with citations back to the original files.

Data Connectors to Access Engineering Data Across External Systems

Engineers often work with data spread across multiple systems: cloud storage, document management platforms, PLM tools, and more. Rescale Data Connectors bridge that gap by connecting your external data sources directly to the Rescale platform, so engineers can find, browse, and use their data without switching tools or manually transferring files.

Agentic Engineering and Agent Library

Rescale agents are purpose-built AI agents embedded directly in the Rescale platform that autonomously handle multi-step engineering and administrative tasks. From validating input files before submission to diagnosing job failures and generating campaign reports, agents automate the expert workflows your team would otherwise do manually.

Hardware Recommendations for Workload Optimization

Rescale now recommends coretypes to optimize software-hardware configurations and remove the guesswork from job setup. Recommendations are based on Rescale’s own performance benchmarks and hardware pricing data, so instead of comparing a long list of coretypes, you have a clear starting point based on what actually works for your software.

Introducing the AI Physics Operating System

The complete Rescale AI Physics Operating System provides a guided path for simulation teams to transform their own data into production-ready surrogate models, improving simulation speed and productivity. This integrated environment manages data, models, training, versioning, and inference, making surrogate modeling practical for non-AI experts.

Workflows to Automate Multi-Step Simulation Pipelines

Rescale Workflows provide a visual canvas for building reusable Workflow Templates that automate multi-step simulation processes, integrating jobs, workstations, storage, and agents. This system eliminates the need for brittle custom scripts by offering a structured, intuitive, and auditable way to manage complex pre- and post-processing, validation, and troubleshooting.

AI-driven Admin Analysis and Control for Credits, Deposits, and Budgets

New admin-focused capabilities provide administrators deeper control and visibility of their spend and resource utilization. The built-in AI assistant, Rescale Assistant, now has access to organization and workspace credits, deposits, and budgets data, along with a specialized Budget Control Agent that helps you manage financial controls using natural language.

These new capabilities are available now, included as part of Rescale Data Intelligence.

New Rescale Help Center for Improved Support, On-Demand

Rescale has launched a new customer Help Center, which is now available for all Rescale platform users. The Help Center includes several new features designed to improve the customer experience and make it easy to obtain support and to quickly solve problems. Rescale’s leading support policy remains unchanged, and all methods for contacting Rescale Support (webform, email, sharing jobs from the Rescale platform) will continue to operate seamlessly.

Job Priority Policies for Improved Cost Efficiency

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Introducing Workspace Folders for Improved Organization & Sharing

We are excited to introduce Workspace Folders, a new feature designed to transform how you organize and manage your simulations on Rescale. As teams run dozens or hundreds of jobs across multiple projects, keeping track of them can be challenging. Folders allow you to structure your simulations in a way that mirrors your actual workflow—whether by product line, component, physics type, or design phase—bringing clarity and efficiency to your engineering data.

Hardware Policies

Hardware Policies give Rescale admins a centralized way to set hardware constraints per software for selected user groups, ensuring users see only compliant hardware options when configuring jobs. This helps enforce recommended hardware, streamline governance, and improve cost control.

Introducing Rescale Data Intelligence: Unify and Analyze Your Engineering Data

We are thrilled to introduce Rescale Data Intelligence, an intelligence platform that unifies all your engineering data into a single, intelligent layer. By automatically capturing and enriching simulation data from your existing systems, Rescale Data eliminates common bottlenecks and transforms your R&D insights into a powerful engine for innovation.

Preserve Sandboxes When Publishing Custom Software

Rescale Software Publisher, which provides a simple and flexible way to self-publish custom software to the Rescale platform, now offers an option to preserve sandboxes after publishing versions. This feature allows administrators to make iterative updates and corrections for a recently published software version, without having to create new versions. Choosing to preserve a sandbox will keep the instance active and keep any software you have have uploaded and built.

Smarter Job Attachments for Continuous Monitoring from Workstation

Attaching running jobs to a workstation for live monitoring previously required careful manual coordination to ensure they were in the same location. Previously, a location mismatch could prevent job-to-workstation connections, resulting in wasted resources and delayed outcomes. We’ve automated the hardware filtration mechanism, enabling a smarter job attachment process that eliminates this problem by intelligently guiding your setup to guarantee colocation for a seamless monitoring experience.

Automatic Deletion of Files from Cloud File System (CFS) Upon Archival

As part of Rescale’s ongoing enhancements to policy-based file management, we’ve introduced a new automation that simplifies data lifecycle management and improves storage efficiency. When users archive a job or workstation, the associated files are now automatically and permanently deleted from the Cloud File System (CFS). This enhancement provides consistent file management across storage options, including CFS and Rescale Files.

New Platform Experience for Accelerated Innovation, Now Available in Beta

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Workspace Deposit Management

Organization Admins can now swiftly deploy Rescale to new teams. From the Organization Administration portal, they can assign deposits to their workspaces, which are used to cover charges for resource consumption on the Rescale platform.

Enhanced User Offboarding Capabilities

Admins can offboard their users from Rescale, maintaining full control over the deletion of their data and the transfer of any associated objects to a new user. These enhancements provide greater flexibility and autonomy in managing your Rescale workspace, ensuring business continuity and protecting intellectual property when personnel leave an organization.

Add Files Directly to Cloud File System (CFS)

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Budgets API for Scalable Financial Management

Managing budgets across multiple projects and teams is essential for financial clarity and operational efficiency — especially in a rapidly scaling organization. The new Rescale Budgets API empowers administrators and users alike to create, manage, and monitor budgets programmatically, mirroring the capabilities of the Rescale platform UI.

Monthly Charge Insights in the Economics Dashboard

Teams performing modeling and simulation in the cloud need visibility into the usage of various resources in ongoing workloads. As consumption can often fluctuate, cost transparency allows for effective budget management, resource optimization, informed decision-making, cost control, and strategic planning.

Multi-Workspace Budgets for Managing Consumption

Rescale Budgets can now manage multiple workspaces of an organization. This enhanced functionality simplifies budget management for organizations with teams and projects spanning multiple workspaces, allowing for a single budget instead of separate budgets for each workspace. Only Organization Administrators can set and manage these multi-workspace budgets.

Charge Type Budgets to Monitor Specific Resource Usage

Rescale’s Cost Budgets feature now includes the ability to specify which types of charges to track. This enhancement allows users to create charge-specific budgets to monitor how different types of resources are being consumed on the platform, including Rescale platform usage, computing consumption, and software licensing-related charges.

Rescale Software Publisher is now generally available

Rescale Software Publisher, which provides customers an easy and integrated way to self-publish their own software on the Rescale platform, is now generally available to all customers.  With Rescale Software Publisher, customers can bring any custom, proprietary, or open source software to Rescale’s HPC cloud platform without requiring any specialized cloud infrastructure expertise in networking, security or administration.

Company License Proxy Enhancements and Updates

New features and updated pricing for our popular Company License Proxy (CLP) services have been released, effective immediately. CLPs provide Rescale customers a seamless integrated solution for managing cloud-based HPC software that requires access to on-premises license servers. CLP services are administered from the Rescale administration portal, and provide license queuing for submitted jobs to optimize utilization of commercially licensed HPC software packages and applications.

Important Update: Multi-Factor Authentication Requirement Starting November 15th, 2024

At Rescale, we continually evolve our security measures to protect your company’s data. To further strengthen our security posture and reduce the risk of breaches, we are introducing mandatory Multi-Factor Authentication (MFA) for users logging into Rescale without Single Sign-On (SSO). This change enhances the protection of your accounts, ensuring a secure user experience across the platform.

Auto-Terminate Suspended Workstations

We are excited to introduce a new feature, Auto-Termination for Suspended Workstations, which allows admins to configure policies for automatically terminating workstations that have been suspended for a specified number of days. This update helps organizations optimize cloud resource use and eliminate costs associated with inactive workstations. This feature is now generally available to all administrators in the Platform Settings section of the admin portal – see screenshot below.

Introducing Studies: A New Way to Manage Simulation Projects

As modeling and simulation projects become more complex, tracking objectives, results, and context across multiple users can be difficult. Rescale’s new Studies feature centralizes and organizes simulations, allowing teams to keep objectives clear, collaborate more easily, and manage their projects efficiently. Studies provide a unified structure for all simulation work, making it easier to maintain focus, eliminate duplicate or wasted work, and ensure valuable insights aren’t lost.

Data Access API is now in Public Beta

We’re excited to announce the public beta release of the Rescale Data Access API. This new feature provides a streamlined way to access and retrieve the simulation data stored within Rescale’s Simulation Data Lakehouse. By offering a programmatic interface to your data, you can now seamlessly integrate Rescale into your existing workflows, automate data retrieval, and power advanced analytics.

Custom Fields Available in Public Beta

Custom Fields are now available in Public Beta for all customers with Rescale Data. This feature enables users to capture business-specific metadata by creating structured fields at three levels—Job, Template, and Workspace. These fields allow users and administrators to store, organize, and manage unique data relevant to their simulation workflows.

CoreWeave GPU Coretypes Available in Public Beta for Increased AI/ML Workload Capacity

New compute architectures from CoreWeave, AI-focused cloud service provider, are now available for workloads requiring high GPU capacity such as AI and machine learning! These GPU configurations are available as Coretypes on Rescale in Public Beta capacity for all commercial (non-Gov) Rescale platforms. Coretypes and their GPU configurations include:

Compute Classes Now Generally Available

Compute Classes, available to all Rescale customers, provide standard sets of hardware architectures for running jobs confidently and meeting various application requirements. As new architectures, or Coretypes on Rescale, are continually onboarded to the platform, Rescale experts update the infrastructure catalog by identifying the most efficient hardware-software configurations. With Rescale-managed Compute Classes, you can always leverage the latest and greatest infrastructure for your workloads without having to select or wait for specific coretypes.

Computational Pipelines for End-to-End Workflow Automation

Computational pipeline (CP) is a new feature for building, standardizing, and automating workflows of multiple computing tasks. R&D end-users and leaders can set specific configurations of software and hardware for individual computing jobs and chain them together with specific sequences or conditional logic.

Integrated License Hosting Now Generally Available

Rescale customers can use Rescale License Hosting to host licenses for their simulation software. Rescale license hosting enables integrated and consistent management of all commercial software licenses for jobs and workflows that run commercial software with licensing requirements. This feature is available for Rescale Workspace admins, integrated within the administration portal and allows users to self-provision and monitor one or more software license hosts in one place. Configured license hosts can be assigned to specific workspaces for access management and billing purposes.

AI Physics Powered by NVIDIA

Rescale is excited to announce AI Physics powered by NVIDIA is now in beta, a collaboration that sets a new standard for AI-accelerated science and engineering. This innovative offering marries the power of AI algorithms with physics simulations transforming traditional engineering processes, making them faster, more accurate, and significantly more efficient.

CentOS 7 to New Linux OS Transition

To ensure continued kernel and security updates, Rescale will transition the majority of its Linux clusters away from CentOS 7 to industry-standard RHEL8 derivatives, namely a combination of Rocky Linux and Alma Linux depending on the underlying Cloud Service Provider. This transition aims to be seamless and advantageous due to updated packages and dependencies.

Enhanced Security with Updated SSH Access Restriction Policy

We’re committed to continually improving our platform’s security and compliance. In line with this commitment, significant updates to our SSH Access Restriction policy will take effect from March 11th, 2024. These changes are designed to tighten security measures and ensure safer, more controlled access to our services.

Azure HBv4 Now Available in Beta

The latest optimized Azure virtual machine HBv4 is now available on Rescale. HBv4 is based on AMD EPYC 9V33X Genoa-X with 400 Gb/s NDR InfiniBand from NVIDIA Networking to enable supercomputer-scale MPI workloads. Applications currently supported include Star-CCM+ (v18.04.008), ANSYS Fluent (v2023R2), and OpenFOAM (v23.06). Customers can request access to this new hardware by contacting their account team to enable it. To learn more about HBv4 visit microsoft.com.

Background Tab Loading

All Rescale platform browser tabs will load regardless of which one is active. Users can now open multiple new platform tabs to load in the background providing faster access to results and improvements to usability especially when analyzing multiple jobs, workstations, and reports. This enhancement is now generally available to all Rescale users.

New Jobs Page

Access all jobs with greater context and control. Monitor status and view project resources in comprehensive detail. Search, and sort all jobs belonging to you or shared with you by teammates. Now generally available for all customers. Learn more about the new jobs page in our product documentation.

AWS Graviton3 ARM (Hpc7g)

Amazon Web Service’s latest Arm-based Graviton3E chip architecture (Hpc7g) is now generally available as the Coretype Pectolite on Rescale. Pectolite offers leading cost-performance and energy efficiency for running both high performance computing and high-throughput computing workloads. Read more about this announcement in the blog post.

Job Analyzer

Job Analyzer can now monitor comprehensive metrics during and after any job to evaluate its hardware performance and utilization. Job Analyzer provides visual analytics on hardware utilization including CPU, GPU, Storage, and Memory for each compute node. These compute cluster metrics can identify resource constraints, troubleshoot failed jobs, and determine optimal hardware configurations for frequently used software. Job Analyzer is generally available and can be attached as an additional software during job setup. For more information read the announcement blog.

8x Faster CSV Downloads

Downloading large datasets and reviewing platform reports is now significantly faster. This includes reports such as billing CSV summaries and also improves in-platform data exploration of computing activities over long periods of long.