High Performance Computing Explained
Key Takeaways
Reduce time to results
High performance computing (HPC) in the cloud gives you instant access to aggregated computing power to drive performance. It is particularly applicable in capital markets, insurance and payments that feature complex calculations and heavy workloads.
Boost your agility
When your datacentres are approaching full capacity, HPC gives you the power you need, when you need it. Discover how it can help you optimize processing across cloud and on-premise systems to unlock infinite flexibility, agility and scale.
Just in time, pay as you go
On-demand access to a cloud grid frees you from concerns about capacity constraints or limited compute power. Learn how total grid portability, rolling hardware upgrades and usage-based pricing options could help you achieve 36% overall cost reductions.
HPC in numbers
HPC in the Cloud: Frequently Asked Questions
What cost benefits can organizations expect from running HPC in the cloud?
Running HPC in the cloud can reduce infrastructure costs by enabling organizations to pay only for the computing capacity they actually use. Instead of maintaining large clusters sized for peak workloads, companies can dynamically scale compute resources up or down based on demand.
Additional savings may come from optimized machine selection, pre-emptible instances, and automated scaling. In some cases, organizations have achieved significant cost reductions by rightsizing workloads and using on-demand infrastructure instead of maintaining underutilized on-premise grids.
For a deeper cost–benefit analysis and real-world examples of HPC cloud deployments, download the complete Thought Leadership report.
What workloads benefit most from HPC in the cloud?
Workloads that require large-scale parallel processing or complex simulations benefit the most from HPC in the cloud. In financial services, common examples include intraday pricing, market and credit risk calculations, treasury scenario modeling, and model backtesting.
Other sectors also use cloud HPC for compute-intensive workloads such as genomic analysis, engineering simulations, and autonomous vehicle modeling. Because these workloads often run in bursts or require significant compute power for short periods, cloud infrastructure provides an efficient way to scale resources when needed.
The full whitepaper explores additional industry use cases and outlines how organizations can design scalable HPC cloud environments.
Why are financial institutions moving HPC workloads to the cloud?
Financial institutions are increasingly moving HPC workloads to the cloud because cloud platforms provide elastic compute capacity that can scale instantly to meet peak demand. This flexibility helps firms run large simulations - such as overnight risk calculations or pricing models - without maintaining expensive on-premise infrastructure.
Cloud HPC environments also enable faster experimentation, improved disaster recovery capabilities, and access to modern monitoring and automation tools. These capabilities allow teams to optimize workloads and adapt quickly to new regulatory or business requirements.
To explore the drivers behind HPC cloud adoption and the operational benefits seen in capital markets organizations, download the full whitepaper.
