The company recently announced four new Cisco Validated Designs for AI blueprints from Red Hat, Nvidia, OpenAI, and Cloudera to focus on virtualized and containerized environments as well as converged and hyperconverged infrastructure options. Cisco already had validated AI models on its menu from AMD, Intel, Nutanix, Flashstack and Flexpod.
The validated designs allow customers to use these models and fine tune what they want to do for their business, McGee said.
Cisco is building Ansible-based automation playbooks on top of these models that customers can use with Cisco’s Intersight cloud-based management and orchestration system to automatically inject their own data into the models and build out repositories that can be used in their infrastructure, including at the edge of the network and in the data center, McGee said.
Cisco’s Intersight package manages a variety of systems from Kubernetes containers to applications, servers, and hyperconverged environments from a single location.
“Utilizing Intersight and our systems stack, customers can deploy and manage AI-validated workloads,” Brannon said. “The message is that we don’t want our customers and partners having to completely rethink the operation side, even though they’re having to rethink some things on the GPU provisioning side for AI, for example,” Brannon said.
In addition, as Cisco gets feedback from its customers on AI-specific features or additional validated designs, it will augment Intersight with new features, Brannon said.
