High Performance Computing as a Service

The Best of Both Worlds

High Performance Computing (HPC) has long been the backbone of intense computational tasks in sectors like research, aerospace, finance, and more. However, as the complexity of problems grows and data multiplies, there’s an increasing need to make HPC more accessible and adaptable. Enter on-premise High Performance Computing as a Service (HPCaaS) – a solution that melds the raw power of traditional HPC setups with the flexibility of cloud-like services. This article explores on-premise HPCaaS, its benefits, challenges, and why it might be the perfect solution for many businesses.

High-Performance Computing (HPC) has for long provided the necessary computational support for organisations in research, aerospace, and finance. As current problems become more complex and new data constantly arrives, there’s a need to make HPC more accessible and adjustable. So, introducing on-premise High Performance Computing as a Service (HPCaaS) – to combine the strength of traditional HPCs with the convenience of cloud-based services. This article will discuss this type of HPCaaS, its advantages, drawbacks, and whether it might be suitable for various businesses.

On-Premise HPC is a service that enables organisations to access the power of high-performance computing without having to buy and maintain expensive hardware. It allows companies to access powerful computing resources for larger and more complicated tasks, while keeping control over the costs associated with these services.

High Performance Computing as a Service

Understanding On-Premise High Performance Computing as a Service

Traditional HPC involves a dedicated supercomputer installed in a specific location. On-premise HPCaaS bridges the gap between this and typical HPCaaS, in which resources are rented from the cloud. This allows companies to have their own infrastructure onsite, similar to traditional HPC but with the added benefit of being able to scale and provision resources as needed - just like with a cloud service.

Key Advantages of On-Premise High Performance Computing as a Service

Some of the benefits of On-Premise High Performance Computing (HPC) as a Service include increased operational efficiency, improved scalability, and enhanced cost-effectiveness. It enables users to access HPC capabilities in a convenient and cost-effective way.

Data Security and Compliance

For many industries, data privacy and security are paramount. By keeping HPC resources on-premises, data never leaves the organisational boundaries, ensuring compliance with stringent data protection regulations.

Reduced Data Transfer Times

Transferring large datasets to the cloud can be both time-consuming and expensive. With on-premise HPCaaS, data is already where it needs to be, eliminating transfer bottlenecks.


On-premise solutions can be tailored to specific needs. Whether it's unique hardware configurations or specialised software stacks, organisations can craft an HPC environment that perfectly matches their requirements.

Predictable Costs

While cloud solutions can sometimes lead to unpredictable costs based on usage, on-premise HPCaaS often comes with more predictable pricing structures, based on licensing or support agreements.


By being tailored to the organisation's specific needs and not sharing resources with other entities (as is the case in public clouds), on-premise HPC can offer optimal performance for compute-intensive tasks.

Challenges of On-Premise High Performance Computing as a Service

Using On-Premise High Performance Computing (HPC) as a Service can be difficult to manage due to certain challenges. One of the main issues is the cost, as it can be expensive to maintain these services. Additionally, there will often be a lack of flexibility as the services are not easily customisable. Finally, running HPC on-premise can require further upkeep and maintenance that can also add to the overall price.

Initial Costs - With an up-front investment, an on-premise HPCaaS environment can be established. Subsequent costs are consistent and thus, predictable.

Maintenance - Organisations are responsible for the upkeep of the infrastructure. This includes hardware maintenance, software updates, and other related tasks.

Infrastructure Management - Ensuring optimal performance, managing power usage, and dealing with cooling systems is the responsibility of the organisation.

Best Practices for Implementing On-Premise HPCaaS

When deploying on-premises High Performance Computing as a Service, there are certain practices that should be observed to ensure optimal performance. The guidelines involve configuring software and hardware correctly, ensuring adequate data protection, and optimising the networking architecture for workloads. Proper implementation of these strategies leads to a successful HPCaaS environment.

Assessment - Before diving in, assess the organisation’s computational needs. This includes understanding current workloads, future scalability requirements, and specific software or hardware preferences.

Vendor Collaboration - Partner with vendors that not only provide hardware but can also offer expertise in setting up an efficient and flexible HPC environment.

Training - Make sure that the IT team is equipped with the skills they need to ensure a successful HPCaaS setup. This could include how to troubleshoot problems, keep data secure and secure optimal performance.

Monitoring and Optimisation - Regularly monitor the performance and utilisation of the HPC resources. This will aid in understanding bottlenecks, planning for future expansion, and ensuring optimal utilisation of resources.

The Future of On-Premise High Performance Computing as a Service

The outlook for On-Premise High Performance Computing (HPC) delivered as a service is promising. It offers the ability to provide organisations with the benefits of cloud computing, such as scalability and flexibility, while still keeping their hardware infrastructure and data on site. This can be especially useful to businesses that require sensitive data to stay in a secure environment, enabling them to take advantage of the increased processing power HPC provides.

As computational needs grow and data security concerns become more pronounced, on-premise HPCaaS is poised to become an attractive option for many organisations. Here’s where the future might be headed:

Hybrid Environments: Organisations might adopt a hybrid approach, where they maintain on-premise HPC for critical tasks and leverage cloud resources for additional scalability when needed.

AI Integration: With AI becoming a fundamental part of many industries, on-premise HPCaaS environments might be optimised for AI workloads, ensuring faster data processing and real-time insights.

Sustainability: As with all IT infrastructures, the environmental impact will be a consideration. Future on-premise HPCaaS setups might prioritise energy efficiency and sustainable cooling solutions.


On-premise HPCaaS offers a compelling option for companies requiring the strength of HPC without sacrificing data security or enduring long transmission times. It provides a mix of the advantages associated with classic HPC and cloud-based HPCaaS, such as versatility, speed and safety.

As the computational environment changes, On-premise High Performance Computing as a Service will certainly help form the way businesses tackle complicated problems. It goes beyond computation by creating specific solutions that correspond to an organisation's special requirements while retaining ownership, versatility and strength.

At Fortuna Data we provide a range of tailored HPCaaS solutions designed to help organisations large and small with their IT infrastructure requirements. If you want to know more, please contact us using the details below.

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