It’s no surprise that artificial intelligence, machine learning, and deep learning (AI/ML/DL) are among organizations’ top initiatives for becoming more innovative and competitive. The main reasons for this trend are:
With FlexPod®, advancing your AI/ML/DL initiatives is simpler than you might think. You don’t need to invest in a separate dedicated infrastructure platform to get started. There’s no need to create another silo, and it’s easy to kickstart your AI/ML/DL initiatives by applying your existing FlexPod investments.
Alternatively, you can start experimenting with AI in the public cloud, and then bring the model on premises to refine it with the data that resides there. No matter what your preference is, the cloud-connected FlexPod platform makes it easier for you. With FlexPod, you get a complete solution to manage your whole AI lifecycle:
We just published a white paper, WP-7345 Build an AI ecosystem with FlexPod AI, that describes several aspects of the FlexPod platform for AI/ ML/ DL:
Geared toward data scientists and MLOps engineers, FlexPod with the NetApp AI Control Plane offers a complete AI, ML, and DL solution that includes Kubeflow, and it enables rapid deployment of the entire stack. Kubeflow makes the deployment of ML workflows on Kubernetes simple, portable, and scalable.
With NetApp Trident and the data fabric enabled by NetApp, data volumes in ONTAP can be presented to Kubernetes in a Kubernetes-native format. Powered by ONTAP, FlexPod with NetApp AI Control Plane makes it easier for multiple data scientists to share datasets. FlexPod also facilitates collaboration and optimizes data storage while data scientists work on multiple versions.
This short video from Arvind Ramakrishnan, senior solutions architect, summarizes the overall FlexPod AI capabilities.
Several customers have already benefited from FlexPod AI capabilities. Here are few:
To learn more about FlexPod, take a virtual tour.
Ketan is a solutions product manager at NetApp managing a broad portfolio of FlexPod converged infrastructure solutions in partnership with Cisco. His focus areas include Enterprise Databases, AI/ML, Virtual Desktop Infrastructure (VDI) and Healthcare offerings. He has been in the Hi-Tech industry for 20+ years focusing on the cloud, storage and security technology domains. His diverse professional career includes Software Engineering, Professional Services and Product Management experience.