Cloud-Based HPC: A Cost-Effective and Scalable Solution

High-performance computing (HPC) workloads are demanding and require specialized hardware and software. However, the cloud can provide a cost-effective and scalable solution for HPC.

What is HPC?

HPC is the use of parallel processing to solve computationally demanding problems. HPC uses a network of computers to work together to solve a single problem, which can be much faster than using a single computer. Here at Nextira, Part of Accenture, we offer Predictive Enterprise capabilities including HPC and an HPC Accelerator solution that is free to install with Microsoft Azure.

Comparison: HPC Options

Option Pros Cons

On-premises HPC

  • Control: Businesses have full control over their infrastructure.
  • Security: Businesses can have more control over the security of their data.
  • Cost: On-premises HPC can be expensive to set up and maintain.
  • Complexity: On-premises HPC can be complex to manage and use.

Cloud HPC

  • Cost-effectiveness: Cloud HPC can be more cost-effective than on-premises HPC.
  • Scalability: Cloud HPC can be scaled up or down as needed.
  • Reliability: Cloud HPC is more reliable than on-premises HPC.
  • Security: Cloud HPC can be less secure than on-premises HPC.
  • Compliance: Businesses may need to comply with regulations that restrict the use of cloud services.

Hybrid HPC

  • Best of both worlds: Businesses get the benefits of both on-premises HPC and cloud HPC.
  • Complexity: Hybrid HPC can be complex to manage.


There are a number of benefits to migrating HPC workloads to the cloud. First, the cloud can provide access to high-performance computing resources on demand. This means businesses can scale their HPC capacity up or down as needed, without investing in expensive hardware.

Second, the cloud can provide a more reliable and secure environment for HPC workloads. Cloud providers have a vested interest in keeping their infrastructure up and running, and they offer a variety of security features to protect data.

Third, the cloud can make it easier to collaborate on HPC projects. Cloud providers offer a variety of tools and services that make it easy to share data and collaborate with team members.


Migrating HPC to the cloud is a worthwhile investment, but it can come with challenges. One of these challenges is compatibility. Not all HPC applications are compatible with the cloud. Businesses need to make sure that their applications will work in the cloud before they migrate them.

Another challenge that may arise is security. Cloud providers have a vested interest in keeping their infrastructure secure, but businesses need to make sure that their data is protected in the cloud. This includes using strong passwords and encryption and being careful about who has access to the data. 

Additionally, businesses need to be aware of compliance issues related to regulations that restrict the use of cloud services. Businesses need to verify that they are compliant with all applicable regulations before they migrate to the cloud.


Here are some tips for migrating HPC workloads to the cloud:
  • Start by assessing your current HPC environment. What are your needs? What are your constraints?
  • Assess the compatibility of your applications. Will they work in the cloud?
  • Develop a migration plan. How will you migrate your data? How will you test your applications?
  • Monitor your workloads. How are they performing in the cloud?


Migrating HPC workloads to the cloud can be a complex process but a worthwhile investment. Contact us to learn more about our Predictive Enterprise capabilities, HPC Accelerator and how our specialists can work with you to design, optimize and maintain your HPC environment throughout its lifetime.

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