updated: 07-06-2022 | 11:05
atNorth, the new co-location player in Sweden with a focus on high-capacity services , is launching a GPUaaS solution, based on Nvidia's leading A100 and upcoming H100.
atNorth's solution is based on a collaboration with leading GPU specialists such as Nvidia and AMD, with the goal of offering a unique all-in-one solution for data-driven businesses. The service enables users to accelerate applications such as deep learning, machine learning and high-performance computing power (HPC) where processing power and speed are crucial.
The need for speed
aNNorth 's new GPUaaS will offer greater capacity and computer use in a tailored all-in-one service for businesses that demand both higher performance, cost efficiency and sustainability. As the need for high-capacity services continues to grow, GPUaaS is a next step in the development of the data center industry to continue to offer faster and better services at lower cost and less energy consumption.
'New type of datacenter partner'
The speed with which technological innovations are developing is often unmanageable, much due to the increasing digitalisation where data-hungry applications are driving the transformation, says Guy D'Hauwers, Sales Director HPC & AI, at North. Many data-driven companies now realize that they need a new type of data center partner that can help them achieve the next generation of computing power, with good connectivity and an infrastructure built on high precision and durability. Our GPUaaS solution not only multiplies HPC capacity and delivers an energy- and cost-effective service, but also serves as a complete technical solution that makes it easier for users to focus on other things.
GPUs are perfectly suited for workloads such as advanced computation for AI, NLP, simulations, and risk analysis. Increased costs associated with the use of public cloud services and increased pressure on sustainability, have made many organizations want to find new alternatives to ensure continuity with high-performance applications in a cost-effective and energy-efficient way.