#ANSYS COST SOFTWARE#

Using AWS, ANSYS was able to create its new solution, quickly bring it to market, and learn from the market through pilot programs.

#ANSYS COST SOFTWARE#

вЂњThat means they can collaborate and manage software updates more easily.вЂќДЄlso, because the cloud enables fast deployment, ANSYS has been able to decrease the time-to-market for its services. вЂњOur customers that have geographically distributed teams can gain easy access to a consistent set of tools by using the cloud,вЂќ Kaiser says. Now, ANSYS customers have global access to simulation software when they need it. Using AWS, our customers can do more engineering faster, and they can do it earlier in the design process.вЂќ вЂњThatвЂ™s the kind of elasticity our customers lacked. вЂњIf an engineer submits a job in the cloud, the compute resource starts, the job runs, and the resource goes away,вЂќ says Kaiser. The agility we get through AWS is unprecedented.вЂќ Customers using ANSYS Enterprise Cloud also have more elasticity. Previously, that would have taken months, because the organization would have had to provision, acquire, install, and configure servers. вЂњIf an engineering organization decided it needed to give access to 100 engineers to do a job, we can have a complete simulation data center ready in the cloud in hours. They can get access to an environment that behaves like an interactive workstation with a GPU and up to 244 gigabytes of RAM, and then submit compute jobs to a cluster that has as many cores as they need.вЂќДЄNSYS customers also have the agility to deploy engineering resources on demand. вЂњThey can access workstations that are far bigger than the ones on their desktops, with far more capacity and performance. When engineers get into the ANSYS Enterprise Cloud environment, they have access to unlimited compute resources,вЂќ says Kaiser. вЂњEnabling access to a cloud high-performance computing infrastructure removes a barrier to scale for our customers. The solution also uses the Amazon Simple Storage Service (Amazon S3) for archival storage, as well as AWS CloudFormation templates and AWS Lambda to automate the deployment and configuration of the solution.Д«ecause it can deliver its simulation workloads to customers via the AWS cloud, ANSYS can now help its customers achieve the scalability they need to take on the most demanding simulations. вЂњWith this solution, our customers can do things like pre- and post-processing and interactions with 3D models, which are tasks normally done on high-end engineering desktops, as well as scale-out computing of solver jobs, traditionally requiring expensive HPC clusters on-premises.вЂќДЄNSYS Enterprise Cloud is built on Amazon Elastic Compute Cloud (Amazon EC2) and uses a wide range of AWS instance types and services to deliver the solution, including the memory-intensive Amazon EC2 R3 family, the compute-optimized C family, and GPU-enabled G2 instances. вЂњUsing AWS, we can essentially deliver a complete simulation data center, so customers can conduct their simulations in the cloud rather than on-premises,вЂќ says Kaiser. The solution, which can be managed by customers or their partners, offers complete simulation workloads in the cloud. In addition, AWS could provide the global availability our customers demanded, and that was a critical factor.вЂќДЄfter it had begun its relationship with AWS, ANSYS created ANSYSВ® Enterprise Cloudв„ў, a new engineering simulation platform in the cloud that is deployed as a turnkey solution within customersвЂ™ dedicated corporate accounts. вЂњIt soon became clear to us that nobody has the breadth of services AWS can offer. вЂњWe did a lot of industry research that showed AWS as the clear leader,вЂќ says Kaiser. When ANSYS began searching for the right cloud technology to support its solutions, it quickly focused on Amazon Web Services (AWS). вЂњWe also thought the cloud could help many of our enterprise customers centralize their simulation assets.вЂќ вЂњWe saw cloud computing as an enabler for our customers because we thought it could give them the scalability and global delivery they were looking for from us,вЂќ says Wim Slagter, director, HPC & cloud marketing at ANSYS. To meet these specific customer needs, ANSYS looked to the cloud. вЂњOur customers are increasingly distributed around the world, so they have to have global access to consistent tools and shared data to enable collaborative engineering,вЂќ says Kaiser. вЂњOur customers require a larger number of processing cores and more memory to solve ever-larger problems, but they donвЂ™t want to build data centers to support the new resources they need.вЂќ Additionally, ANSYS customers need globally deployed solutions. вЂњEngineering simulation is extremely compute-intensive,вЂќ says Judd Kaiser, program manager for cloud computing at ANSYS. For the large and small organizations that use ANSYS software, computing capacity and performance are constant challenges.

Ansys cost