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Engineering the Future Forward
Exploring the latest digital enginering use cases, industry trends, and Rescale platform innovations.
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Cloud HPC Leader Rescale Closes $14 Million Funding Round to Fuel Global Expansion
Investment led by TransLink Capital confirms enterprise adoption of Rescale’s cloud HPC platform and global expansion.San Francisco, CA, June 16, 2016 — Rescale, the leader in cloud HPC, secures $14 million in Series A funding led by TransLink Capital with participation from Microsoft Ventures, Jump Capital, ITOCHU Technology Ventures, Two Roads Group, and Data Collective.…
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Rescale and Rossi: Supporting the innovators of motorsport. Alexander Rossi, winner of the Indy 500
San Francisco, CA – As Rescale continues its support and development of those at the cutting edge of motorsport, ambassador Alexander Rossi has been making the headlines around the globe. On Sunday, May 29, the Californian race car driver won the prestigious 100th running of the Indianapolis 500, writing his name in the history book and taking…
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Autodesk and Rescale Announce Strategic Partnership to Provide Moldflow on Rescale’s Cloud HPC Platform
San Francisco, CA – Rescale is excited to announce a technology collaboration that provides Autodesk Moldflow software users the ability to run their simulations on the Rescale platform. Existing Autodesk Moldflow Insight software customers can access Rescale’s on-demand, high performance computing (HPC) platform in order to benefit from Rescale’s powerful and scalable hardware resources.Rescale provides…
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Boom Technology leverages Rescale platform to enable a rebirth of supersonic passenger travel
San Francisco, CA & Denver, CO – Denver-based Boom Technology is leveraging Rescale’s cloud-based simulation and optimization system to enable a rebirth of supersonic passenger travel.Boom’s aircraft is faster than Concorde yet dramatically more efficient and affordable. Concorde was designed 50 years ago, in an era when aerodynamic optimization required painstaking wind tunnel testing, with each…
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Future Facilities partners with Rescale to deliver high-speed data center modelling
High performance computing now available through cloud bursting to 6SigmaET and 6SigmaDCX customers around the worldLondon, UK – Future Facilities today announces a new partnership with Rescale, a cloud-based simulation platform provider. The relationship will allow facility managers, architects and designers from across the globe to perform the most complex data center modeling quickly, using high…
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Addressing valueLink deprecation in React 15
React version 15 has deprecated valueLink which was a property on form elements for expressing two-way binding between the value of the form element and a state property of the component using the element. The recommended replacement is to explicitly specify the value as a prop and to supply an onChange handler instead.At Rescale, we…
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Deep Neural Network Hyper-Parameter Optimization
Rescale’s Design-of-Experiments (DOE) framework is an easy way to optimize the performance of machine learning models. This article will discuss a workflow for doing hyper-parameter optimization on deep neural networks. For an introduction to DOEs on Rescale, see this webinar.Deep neural networks (DNNs) are a popular machine learning model used today in many many applications…
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Train your TensorFlow Models on Rescale
Google released TensorFlow (www.tensorflow.org), an open source machine learning library, last November which attracted huge attention in the field of AI. TensorFlow is also known as “Machine Learning for Everyone” since it is relatively easy to hands-on even for those who don’t have much experience in machine learning. Today we are excited to announce that TensorFlow…
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Guest Blog: Eco-Runner Team Delft Using Rescale to Design a Fuel Efficient Vehicle
Eco-Runner Team Delft is a student team at the TU Delft. Since 2005 our mission has been to design and build the most efficient vehicle powered by hydrogen. There are two main aspects to this vehicle- a fuel-efficient propulsion system and a vehicle with very little resistance. The aerodynamic resistance is a big part of…
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Azure Linux RDMA Setup Tips
Microsoft’s announcement of Azure Linux RDMA support last year was great news for those looking to run tightly coupled HPC workloads in the cloud. Unfortunately, there still isn’t a lot of documentation out there describing how to set it up. This tutorial appears to be the main source of information for configuring Azure Linux RDMA.…
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Updated Platform Designs: Pricing Page and Hardware Selection Page
We recently updated the design of 1) our pricing page and 2) the hardware selection page in order to offer more visibility on pricing, as well as to create a smoother user experience when users are setting up jobs.Pricing PageOur pricing page now includes a detailed, dynamic chart where you can filter for hardware specs…
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The Problem with Data Modeling (as commonly practiced)
Every mature MVC application has that one model that’s grown out of control. The table has 20 columns; there are user preferences stored in it alongside system information; it sends email notifications and writes other models to the database. The model encompasses so much application logic that any new feature is likely to have to…
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Cost Optimizing Your Rescale Job
Rescale offers various software with on-demand licensing. This software is popular because of the pay as you go nature. Not only does this software provide an easy way of accessing the software, but many software is priced in such a way that they encourage running on more cores and therefore providing a faster turnaround time…
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Manor Racing Partners with Rescale Cloud HPC For Trackside Simulation Advantage
San Francisco, CA – Manor Racing is partnering with San Francisco based Rescale as a key technology provider for its 2016 FIA Formula 1 World Championship challenge.Manor Racing will use Rescale’s cloud high performance computing (HPC) platform to enable trackside simulation on a whole new scale for the team. Working in tandem with Manor Racing’s…
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AVL EXCITE™ Now Available on Rescale’s Cloud Simulation Platform
San Francisco, CA – Rescale is excited to announce the availability of AVL EXCITE™ on Rescale’s simulation platform through a collaboration with AVL, the world’s largest independent company for the development of powertrain systems with internal combustion engines as well as instrumentation and test systems. This addition to the Rescale platform further strengthens the AVL…
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Elegant React Component APIs with Functions as Children
We can develop some pretty elegant React Component APIs using functions as children in React Components. Take for example a Dropdown component. If we want it to be flexible by leaving the DOM structure up to the user, we would need some way to designate toggler elements of the Dropdown. One way is with the…
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Evolve your Django Apps as Your Business Grows
When we start prototyping our first web application with Django, we always tend to create one Django app and put all the models into that app. The reason is simple – there are not that many models and the business logic is simple. But with the growth of the business, more models and business logic…
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Accelerate SHIPFLOW simulations with Rescale – Free Webinar March 2nd
Date: Wednesday, March 2nd, 2016Time: 8:00AM PDT / 11:00AM EDT / 5:00PM CSTDuration: 60 minutesPresenters: In this webinar, we will demonstrate how SHIPFLOW users can benefit from using Rescale’s on-demand, HPC cloud platform.CFD is used extensively for the hydrodynamic design of ships e.g. to evaluate resistance, delivered power, added resistance, or even for automatic hull…
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Getting started with MS-MPI on Azure
It has been about a year and a half since we released a reusable Azure Cloud Service for provisioning a simple Windows MS-MPI cluster without having to install HPC Pack. Azure has undergone a lot of changes since that time and we thought it would be worth revisiting this topic to see what the current…
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Neural Networks using Keras on Rescale
Rescale now supports running a number of neural network software packages including the Theano-based Keras. Keras is a Python package that enables a user to define a neural network layer-by-layer, train, validate, and then use it to label new images. In this post, we will train a convolutional neural network (CNN) to classify images based…