Every engineer running simulations has experienced the struggle of formulating a computation or simulation job and being unable to solve it due to hardware or software resource constraints.  At Rescale, our goal is to eliminate these constraints and ultimately empower engineers to move up a level of abstraction toward simulation- and model-based design [mbd].  On-demand access to hardware and software resources changes how engineers can approach and solve the next generation of engineering challenges.

Most engineers have a basic level of access to internal high performance computing (HPC) clusters and simulation software–but access to on-demand resources opens up a broad set of new engineering problems that can be solved.  Often, engineers are trained to solve their problems within these given constraints and do the best job they can with set timelines. This results in an under-representation for the real demand and opportunity if access to hardware and software were ubiquitous.  Access to on-demand hardware and simulation software resources dramatically changes how engineers are able to utilize simulation in the product development process.

Lowering barriers to entry
At the most basic level, access to on-demand hardware and software resources dramatically lowers the barrier to entry for engineers to start running computational analyses. Significant upfront investments in hardware infrastructure or annual software licensing fees are not required with on-demand access as they have been in the past.

Higher fidelity models
Simulation models with higher fidelity designs can often give more accurate and higher confidence simulation results.  With access to variable on-demand HPC resources, engineers can significantly increase the fidelity of simulation models without the need to invest in additional HPC hardware.

Broader design space exploration
Linearly scaling out simulations through parameter sweeps or designs of experiment (DOE) can be an extremely powerful way to better understand how specific elements of a model affect the outcome and provide critical engineering insights.  Access to on-demand resources has a dramatic impact on these applications–commoditizing the incremental cost of a simulation and providing engineers and scientists the ability to run as many scenarios concurrently as they desire.

Algorithmic design development
Engineering models for complex systems have millions of parts and parameters which can be varied by engineers–often making a complete brute force search [bfs] of the entire design space impractical.  Optimization techniques, statistical methods, machine learning algorithms, and other tools can be utilized to more intelligently explore these design spaces.  A single function evaluation for these tools can involve the execution of a full simulation model that requires significant hardware and software resources.  The ability to seamlessly execute these simulations is a critical enabler for simulation workflows that use this type of algorithmic approach.

Multidisciplinary analysis and co-simulation
Most complex products have several different engineering or scientific disciplines that influence the design.  Simulation tools are often utilized for multiple components of the design process, providing the opportunity to combine the simulation tools (e.g. using functional mockup interfaces [fmi]) to understand how design changes affect each discipline independently while exploring correlations and interactions between them.  When multiple simulation tools are connected together, the software and hardware requirements increase exponentially.  These types of multi-discipline approaches are often used in conjunction with algorithmic exploration due to the highly complex interactions between parameters (e.g. multidisciplinary design optimization [mdo]).  This often requires resource requirements beyond what has been traditionally accessible.  Co-simulation is another example of this, but a more tightly integrated concurrent approach.

Engineering management and budgeting
Executives and engineering management often undergo a very difficult resource allocation and budgeting process in an attempt to predict the hardware and software requirements for a one- to three-year period while investing in capital expenditures for HPC clusters and annual software licenses accordingly.  On-demand hardware and software resources allow for direct accounting and very granular budgeting approach.  With the ability to calculate returns on investment (ROI) directly for simulations and understand the computing costs on a project basis, management can empower engineering teams to dynamically allocate resources as engineering and business needs change.  This approach provides engineers the leverage to objectively assess the value of simulation tools and directly tie these investments to results.

Engineering and scientific simulation is becoming the critical tool that fuels the innovation pipeline for leading companies in industries and applications ranging from the development of new spacecraft and unmanned aerial vehicles (UAVs) in aerospace to revolutionary new drug discovery techniques in life sciences to advanced electronic design automation (EDA) for the next generation of semiconductor devices.  Access to on-demand resources for hardware and software provides engineers the tools to move up a level of abstraction in the development process. This dramatically improves the ability to handle large complex models and utilize simulation driven development as a key asset for innovation and breakthrough technologies.


This article was written by Joris Poort.

Here at Rescale, we are very excited to introduce into production a new hardware profile – the “HPC+” compute configuration. This compute type has improved compute and interconnect capabilities coupled with SSD storage, yielding significantly improved performance.

During beta testing, numerous Rescale users ran their simulation workflows using this hardware profile and the results were very positive. The average user saw between a 25-40% increase in speedup and performance per job.

Now in production, the new compute configuration, “HPC+”, is priced at a very competitive $0.25/core/hour for the regular On-Demand price. Due to the increased performance, running analyses on this hardware type can often result in lower overall Rescale costs — compared to running the same job on another compute profile.

To compare the performance yourself, you can log in to or create an account by going to For information about how to set up a simulation, please go to

This article was written by Joris Poort.


Here at Rescale, we’ve had an excellent year in 2013 and are looking forward to another great year ahead. Below are some of the highlights on what we accomplished this past year, and quick preview of what’s to come in 2014!

We are always focused on making sure Rescale complies and adheres to the highest security standards in the industry. We have completed our SOC Type 2 compliance audits and have an ITAR platform that follows U.S. International Traffic in Arms Regulations (ITAR) requirements. Your company can continue to trust Rescale with your data and sensitive information knowing that we are devoted to making sure you’re protected. For more details on security, see our Security page.

In 2013, we announced both reduced pricing and new pricing tiers to give users more flexibility. Utilizing low priority and pre-paid pricing options, Rescale can help reduce your overall costs by over 50%. For further detail on our current pricing tiers, visit our Pricing page.

Based on user requests and feedback, we expanded our software library to over 30 simulation tools. As we work with software partners, we continue to see an increase in short-term licensing models. This gives you more flexibility to run your simulations on demand while easily scaling up your licenses when you need it most.  For an overview of our active tools, check out our Tools page.

At the end of 2013, we refreshed our resources with a new look and framework that allows us to continue to provide you a broad selection of tutorials and examples. We also expanded the depth of documentation and self-help resources that are designed to quickly get you up and running on the platform.  Several self-help videos released in 2013 include, job setup, sharing, and cloning.  Take a look at our new Resources page and continue to check back for frequent updates.

2014 Preview
As we look forward to 2014, there are many exciting projects in the works, including:

  • Platform Interface Update – We are refreshing our user interface to make it easier to begin running simulations, while expanding the possibilities for authoring and executing complex workflows.
  • Rescale API – The Rescale API will allow users to submit Rescale jobs programmatically and integrate our platform directly into your favorite simulation tools.
  • Updated Hardware – We continue to expand our hardware capabilities and performance. As we upgrade our hardware, you can expect significant improvements in simulation speeds. Based on your feedback, specific areas we are focussing on are interconnect and latency improvements.
  • Rescale On-Premise – A current project is an on-premise solution that will provide a Rescale interface for your on-premise hardware. This will allow you to run Rescale jobs utilizing your own hardware or a hybrid of your hardware and Rescale’s infrastructure.

To continue to serve you best, we are also actively hiring to expand our team.

As we embark upon an exciting new year, Rescale would like to thank you, our users, for your continued support and feedback to help make Rescale the leading cloud simulation platform. We look forward to continuing to serve you in 2014!

To learn more about Rescale, please visit, To begin using Rescale for engineering and science simulations, please contact

This article was written by Joris Poort.


Check out Rescale’s new pricing page here

At Rescale, we work hard to provide the most cost-efficient solutions for your simulation needs.  Working together with our customers, we developed new pricing tiers that allow us to pass along significant cost savings for specific types of simulation workloads. We are excited to announce that these new pricing tiers are now available.

Low Priority

The new Low Priority tier allows users to run and queue jobs that are cost sensitive but not as urgent as other simulations.  Then, when we are able to access short-term, lower-cost infrastructure capacity, we pass along these savings to you. Low Priority prices are 50% off the standard hourly rates.

Compute configuration On Demand price ($/core/hour) Low Priority price ($/core/hour)
Low Memory $0.1 $0.05
Standard $0.15 $0.07
HPC $0.2 $0.1
High Memory $0.25 $0.13
High Memory HPC $0.3 $0.15

A stoplight system will indicate the availability of running your simulation at a low priority based on your specific job and cluster configuration:

  • Green – Capacity available, job will likely run soon
  • Yellow – Capacity currently unavailable, likely to become available within a week; job will queue until green
  • Red – Capacity currently unavailable, unlikely to become available within a week; job will queue until green


Note that we cannot provide any predictability on when a job might start running. However, when a job is queued, we always provide users the option to run it immediately at our On Demand prices with a single click. If you are interested in activating Low Priority pricing for your account, please contact for additional information.


As you scale up your Rescale usage, there may be a base level of capacity that is highly predictable and stable.  The Prepaid option allows users to receive a significant discount off the On Demand price.  Since we provide this capacity for you longer term, we do require the full payment up front. 3-year Prepaid prices are as follows (1-year is also available):

Compute configuration On Demand price ($/core/hour) Prepaid price ($/core/hour)
Low Memory $0.1 $0.05
Standard $0.15 $0.07
HPC $0.2 $0.07
High Memory $0.25 $0.08
High Memory HPC $0.3 $0.09

If you are interested in 3-year (or 1-year) Prepaid pricing, please contact for additional information. We invite you to login or create a Rescale account and run more cost-efficient simulation workloads with our new pricing tiers.

This article was written by Joris Poort.