There are no hidden costs, we provide full transparency, and we are consistently low cost – we don’t need to offer a free trial!
Infrastructure as a Service (IaaS) provides companies with GPU power from Graphics Processing Units to facilitate Artificial Intelligence, IoT, Machine Learning and Video Rendering amongst others. Our unique, bespoke computer machines are rented on a ‘pay as you use’ basis, which makes your requirements very cost effective.
The approach of NexGen allows us to operate up to 10 times cheaper than competitors, with a constant drive to offer such services powered by carbon emission free electricity.
Our virtual servers can run production clusters, build apps, render video, and train machine learning models. Fields such as quantum chemistry and medical research have seen simulations become commonplace industry practice when developing materials and new pharmaceuticals.
You can save up to 10x compared to leading cloud competitors. It’s a greener, more sustainable model that truly embraces the sharing economy.
The time and costs to build, train and deploy AI and ML simulations have historically been large. Now you can cost-effectively and quickly scale your solution to your requirements, saving you substantial time and money. From market research and risk analysis in the retail sector, to content flagging and intelligent advertising for video streaming, or even predictive analysis and trend observation in the medical field, machine learning and AI are always one step ahead of the curve.
We can enable you to analyse more data, backtest further and produce results faster with the ability to scale cost-effectively, and give you access to millions of TFLOPs of computation, cheaper than anyone else in the market.
In any field of engineering, simulations play an integral role, by allowing faster and more cost-effective development and testing. Traditionally, some simulations could take hours, days or perhaps even weeks to run to completion. From structural stress design, to semiconductor and fluid flow Multiphysics simulations, CAE technology is becoming essential in prototype design.
We offer fast, reliable solutions within computer-aided engineering, for both theory and practice, in research and industry. With our distributed computing network, backed by GPU and CPU support, user-friendly, cutting-edge technology is available to you now. This includes the most commonly used algorithms for finite element analysis (FEA), computational fluid dynamics (CFD), multibody dynamics (MBD), as well as for overall durability measuring and optimisations.
The benefits of using our private cloud, as opposed to a centralised platform, is immense. Spreading the workload across a network of distributed hardware makes our platform cost-effective and fast. You will run simulations faster, discover faults sooner, and make well-informed decisions more efficiently.
Traditionally, discovering, designing and researching new materials was a matter of trial and error. However, with the recent developments in high-performance computing (HPC) and cloud computing, fields such as quantum chemistry have seen simulations become a commonplace industry standard when developing materials and new pharmaceuticals.
The computational power needed to perform ab-initio molecular dynamics (AIMD) simulations is immense and is typically only used in small systems. We enable technologies such as this to be used on a larger scale, offering advanced applications which can approximate the underlying models and equations. Solving these advanced problems can provide crucial insight into new materials at the atomic scale, which is necessary for innovation and pioneering within the industry.
Putting the technology in the hands of those most capable of using it, is a key feature of a decentralised platform.
Industrial and academic research in the biomedical field is making more and more use of the recent advances in technology. From deep learning artificial intelligence, trained in image recognition, using inference to look for and identify anomalies in x-rays, medical journals and epidemic patterns, to complex model solving to discover new pharmaceuticals, the world of medical research is making strides.
We can offer the computing power necessary for all of these things, without the overhead and cost. When newer research technologies such as next-generation sequencing and docking computation are on the rise, there is a need for large scale, cost-effective, high powered computing.
In the world of medical research, it is important that personal data remains personal. We offer you the ability to choose where your workload is processed. With us, compliance is less daunting, even when you have big data to process.
Rendering is becoming more and more sophisticated, and you are challenged to achieve higher quality work for 4K and 8K productions. Pixar have said that the complexity of Toy Story 4 meant that it took between 60 to 160 hours to render one frame – and there are 24 frames per second.
With the ability to monetise the thousands upon thousands of under-utilised GPUs and CPUs around the globe, our network can be used as a rendering solution for faster and more cost-effective results than has ever been possible before. This will give individual artists and large corporations alike the ability to produce higher quality work, within budget and enabling them to render their entire production easily overnight or in a matter of hours.
Scalability is key when the workload varies. With this new computing power that is elastic, companies never have to worry whether a render job will finish in time for a deadline when the hardware requirements scale to fit your needs.