Boston announced the first European offering for Nvidia Rapid test drives.
The move brings Nvidia Rapids, a suite of open-source software libraries giving data scientists the freedom to execute end-to-end data science and analytics pipelines entirely on GPU. The result is a cluster of Nvidia T4 GPU-optimised servers running a variety of Rapids frameworks available to customer and data scientists looking to accelerate and scale out their frameworks working in Python.
Rapids are rocky places with slippery stones and fast moving water. This stuff called Rapids is reckoned to speed things up.
With Nvidia ’s GPU Cloud, people can manipulate individual parts of the data science workflow. The repository includes examples of cuDF, XGBoost, cuML demos, cuGraph demos and more in example notebooks, as well as 10-minute guides.
Manoj Nayee, Managing Director of Boston, said: “As Nvidia Tesla Partner of the Year, Boston is delighted to partner with Nvidia to offer customers access to Rapids via BostonLabs. With over 25 years of industry experience we understand from working with our customers that it can be a daunting challenge, even for experienced data scientists, to ensure that their hardware and software partners seamlessly deliver the speed and scalability that their workloads demand. Our announcement today is a sign of our ongoing commitment to the industry, giving access to the latest technologies as well as the experts at BostonLabs to guide them.”
Alfred Manhart, VP of Channel Business at Nvidia EMEA, said: “The Rapids test drive is a great way to see first-hand the benefits of this new machine learning platform. For the first time, it gives scientists the tools they need to run the entire data science pipeline on GPUs. We welcome Boston to support them in Europe and help companies address their highly complex business challenges.”
Rapids is also integrated into vScaler, Boston’s cloud offering, for on-premises, hybrid, and multi-cloud environments.
