Hybrid cloud data solutions provider NetApp has announced the opening of a new artificial intelligence (AI) centre of excellence in Bengaluru in collaboration with chipmaker Nvidia.
According to a statement, this will be in addition to NetApp’s Data Visionary Centre, which was inaugurated a year ago at NetApp’s campus in Bengaluru.
The two companies said that the centre of excellence will help create an environment where they can help showcase technologies to enterprises and the government.
The centre will involve NetApp making investments into Nvidia DGX workstations, the US-headquartered chipmarker’s mini-supercomputers built specifically to tackle use cases around artificial intelligence-machine learning and deep learning.
The centre will offer enterprises an opportunity to experience solutions for AI built by NetApp and Nvidia, while also working with their engineers and subject matter experts in the field.
The centre plans to simplify data processing, thereby accelerating the journey from the edge to the core and to the cloud. The partnership is aimed at scaling pre-validated infrastructures that have been successfully deployed in other geographical areas by Nvidia and NetApp.
“Data is the new business capital. Today, CIOs are looking at the bigger picture, built upon getting better insights into their data and betting big on newer technologies, such as AI to reach maximum data capabilities and evolve into enterprises of the future,” said Anil Valluri, president of NetApp for India and SAARC.
Nvidia and NetApp began their partnership a year ago with the goal of working on an “AI- proven architecture” through the Data Visionary Centre. The statement said that NetApp has integrated its systems with Nvidia’s DGX series of supercomputers over the past year, in order to create a uniform service package for NetApp’s customers.
Earlier this week, Nvidia announced the launch of a new series of chipsets that would tackle low-latency AI requirements for enterprises.
According to the company, the new platform will enable customers to perform low-latency AI at the edge to perceive, understand and act in real time on continuous streaming data between 5G base stations, warehouses, retail stores, factories and beyond.