Digital services and consulting company Infosys Ltd. today announced the launch of its applied artificial intelligence cloud and part of Infosys Cobalt built on Nvidia DGX A100 systems for AI workloads.

This new Infosys applied AI cloud will enable developers and project teams access machine learning hardware and software stacks more easily across private and public clouds to build AI-first processes for enterprises. Nvidia Corp. is a chipmaker well-known for advanced AI computing hardware and the DGX A100 is a general-purpose platform processing system for machine learning designed for workloads with high compute density, performance and flexibility.

The DGX A100 provides the infrastructure to allow hundreds of project teams to run machine learning and deep learning operations simultaneously. Alongside that, Nvidia Multi-Instance Graphics Processing Unit technology will allow Infosys to improve efficiency for each A100 system and teams can process AI algorithms centrally or locally on any device, without lag, using Infosys edge AI.

“For a long time now, AI has been playing a key role in shaping consumer experience,” said Balakrishna D.R., senior vice president and head of AI and automation services at Infosys. “Cloud, data analytics and AI are now converging to bring the opportunity for enterprises to not just drive consumer experience but reimagine processes and capabilities too.”

As part of the Nvidia Partner Network, Infosys will also be able to build Nvidia DGX A100-powered, on-premises AI clouds for enterprises to provide access to cognitive services to create chatbots, autonomous vehicle networks, oversee supply chains within factory floors and even more use cases.

Industries affected by AI include healthcare, manufacturing, retail, smart cities and telecom. For example, AI can be used to power smarter checkout systems that use computer vision to confirm that items being scanned are the same ones being identified by bar codes of items removed from shelves, which can then be restocked faster. This same technology can transcend the retail floor to supply lines by keeping track of real-time inventory and historical buying patterns so that customer’s favorites never run out.

Infosys can also use AI enables businesses to harness their own data estates using open-source data and curated data exchanges on the cloud to build and train their AI models. Enterprises can use the applied AI along with any hyperscale cloud provider as well.

“Many organizations are eager to infuse their business with AI but lack the strategic platform on which they can pool expertise and scale the computing resources needed to build mission-critical AI applications,” said Charlie Boyle, vice president and general manager of DGX Systems at Nvidia.

Photo: Nvidia