Edge and hybrid high-performance computing solutions that provide boundless processor, memory and data pipelines for the most resource-hungry of modern applications.
High-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. Parallel processing techniques utilising highly resilient clusters of computing nodes are enabling a wide range of industries to exploit data analysis and simulation modelling. The advent of the public cloud and the development of scale-out architectures using industry standard infrastructure brings a host of opportunities to everyday business, enabling HPC at the edge, on-premises, in the cloud or in a hybrid model. Limitless scale, hyper-performance and on-demand resources are now a reality for us all.
Artificial intelligence (AI) is expected to be one of the most significant consumers of infrastructure in the next decade. HPC and AI can be used in various fields, such as laboratory research, solving complex technical engineering problems, and financial analysis and market predictions using mathematical algorithms.
High-performance computing enables us to interrogate extremely large data sets in real-time. The new era of HPC platforms is enabling data analytics on a scale never known before and has resulted in the new terminology, High-Performance Data Analytics. The performance and scale of an HPC platform means analysts get results quicker and from a larger data set, deriving higher quality outcomes and delivering a competitive edge.
Machine learning (ML) is expected to be another one of the top three consumers of infrastructure over the next 10 years. ML uses algorithms and statistical models to adapt without explicit instructions, by analysing and drawing inferences from patterns in data. This can require huge computing power at scale, and so HPC is becoming a natural partner in the delivery of ML solutions. ML can give enterprises a view of trends in customer behaviour and commercial operational patterns, as well as support the development of new products.
Transaction processing is a traditional approach to data analysis and outcome determination. Financial institutions use transaction processing to determine market exposures and positions, whilst manufacturing and retail businesses might use the process for stock management and product placement. The quicker the results, the more effective the business can be in maximising its income and minimising its risk each day. As competitive markets place pressure on margins and innovation, so HPC is used to provide quicker results and a competitive edge.
Computer simulation is the process of mathematical modelling designed to predict the behaviour or outcome of a scenario. HPC enables businesses to gain high-fidelity simulation outcomes at scale, quickly. It can be applied to product and service development in commercial scenarios as well as oil and gas exploration, healthcare, and science research from a subatomic to galactic scale.
Kodata. A next-generation VAD specialising in both proven infrastructure solutions and emerging frontier technologies. We help our channel partners deliver the resilience, performance, and security their customers demand. Kodata. Value-Added Distribution for today and the quantum future.A wealth of experience with a fresh approach. Hybrid infrastructure solutions for the modern era.
If you would like to hear more about how we can help you meet the challenges of today and the quantum future, then please don’t hesitate to get in contact.
Kodata. Value-Added Distribution for today and the quantum future.