In recent years, we have witnessed a continuous migration of companies to the cloud. The advantages of shifting all workloads of your business to the cloud are now well-known in terms of optimization, flexibility, and efficiency in utilizing the technical resources required for business implementation. In addition to the clear financial benefits (although you need to be very mindful of the resources your business functions consume to avoid unpleasant surprises), there are several technological advantages. These include the use of managed services for Infrastructure (IaaS), Platform (PaaS), or Software (SaaS), the ability to use only the necessary resources at any given moment, avoiding overprovisioning, and utilizing these capabilities on demand. One notable advantage is the opportunity to embrace innovative technologies without the need to invest extensively in learning, acquiring, training, or deploying them. An example is the recent availability of specialized processors for artificial intelligence (AI) offered by several prominent Cloud Service Providers (CSPs). 

This capability enables companies that are migrating to the cloud to seamlessly integrate these recent technologies into their business processes, thanks to the tools offered by CSPs to their customers.

In parallel, we are observing how enterprises in highly regulated industries, which initially hesitated to embark on their cloud journey due to the intrinsic characteristics of their business, are now embracing this trend. This shift is made possible by the availability of private cloud offerings, on-premises cloud extensions, hybrid cloud options, and numerous other possibilities.

Among these verticals, we find companies that extensively utilize stochastic workloads for tasks such as simulation, optimization, and prediction. Risk evaluation, asset valuation, optimal route calculations, drug investigation, engineering calculations, and more are some of the most demanding IT workloads executed daily by banks, insurance companies, engineering firms, and pharmaceutical industries. Once these companies embark on their cloud journey, they can leverage the innovative technologies offered by CSPs integrated into their business functions. One such technology now available in cloud is Quside’s Randomness Processing Units (RPU). 

By utilizing RPU Cloud, companies can capitalize on the capabilities provided by RPU directly within their virtualized cloud environments and seamlessly integrate these workloads into their business processes. Quside’s RPU was created to accelerate and optimize randomness intensive workloads and help companies to be more efficient and obtain competitive advantages when executing stochastic workloads. 

RPU Cloud brings all these benefits to companies migrating their business functions to the cloud, inheriting operational procedures, security configurations, and more that these companies have implemented centrally, thanks to cloud environments. Furthermore, they can take advantage of automation mechanisms that enhance business agility (e.g. Infrastructure as Code) and security enabled by the cloud. They can deploy business functions related to stochastic workloads in the right location at the right time without the need for excessive deployment planning or months of preparation.

Finally, let us not forget one of the main benefits of using the cloud: the democratization of IT resources. With RPU Cloud, your organization can harness these innovative processing units without the need to be a large company with thousands of IT human resources and datacenters. If your business processes and functions can benefit from using RPU, you can seamlessly integrate them into your business functions using the familiar mechanisms you already know in the cloud.