23 February 2021 – Oxford, UK: The Numerical Algorithms Group (NAG) will provide machine learning guidance to Microsoft Azure users via the new Azure HPC & AI Collaboration Centre. In partnership with NVIDIA, this new centre will develop best practices for the deployment of scalable machine learning in the Cloud.
“Microsoft and NVIDIA innovation around AI, combined with NAG’s HPC expertise will enable more customers to take advantage of Azure for scalable machine learning, and we are excited to be part of it.” said Adrian Tate, CEO, NAG. “NAG will demonstrate the execution of popular machine learning frameworks such as TensorFlow or PyTorch at very large scale in the easiest way possible, which will be very valuable to the community”
Over the years, NAG has partnered with Intel, AMD and Arm on the development of their high-performance software stacks. With NVIDIA, NAG has collaborated on GPU programming as a provider of CUDA consulting, training and products to customers around the globe. The deep relationship between NAG, Microsoft and NVIDIA makes for a perfect partnership for this Collaboration Centre.
NAG has been at the forefront of HPC since its inception and is today leading the way in migrating large-scale workloads to the Cloud. Working through the Azure collaboration centre, NAG’s decades of HPC experience will enable customers to harness scalable machine learning in a really easy way. As a Microsoft Azure Gold Partner, NAG is uniquely experienced in performing cloud migration whilst simultaneously optimising the application for both cost and performance.
Microsoft Azure launched the Azure HPC & AI Collaboration Centre program to develop and share best practices with the HPC and AI communities. The Collaboration Centre program is delivered in partnership with AMD, Intel, and NVIDIA. Details can be found here.
Helping to fuel innovation globally since its inception in 1970, NAG provides industry-leading algorithms and HPC services to financial services, life sciences, oil and gas, pharmaceutical, research and development, and engineering firms, in addition to government and academic institutions. World renowned for the NAG Library – the most rigorous and robust collection of numerical algorithms available – NAG offers solutions in Algorithmic Differentiation, Mathematical Optimization and PDEs, as well as world-class technical consultancy across HPC and Cloud HPC, code porting and optimisation, and other areas of numerical computing.
