In the past, the Hyperscalers have always been positioned as the default/ “you can’t go wrong” deployment zone for AI/ML workloads. But this is not true for many use-cases, see why AI and machine learning are drifting away from the cloud.
Real-world examples from many ISVs and customers tell a different story with multiple drivers: low-latency, data privacy and cost (especially at scale) that make the Core DC (owned or hosted) a better choice. With leading market analysts agreeing on explosive data growth at storefront/ branch/ customer service center locations, for Edge AI/ML use cases, on-prem deployments are a ‘no-brainer’.
Blog: https://www.nutanix.dev/2023/10/12/deliver-enterprise-grade-edge-ai-ml-with-nutanix/
Host: Philip Sellers
Co-host: Harvey Green
Co-host: Jirah Cox
Co-host: Ben Rogers
