Case Study: H2O.ai speeds secure AI deployment with Replicated Embedded Cluster

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Preview of the H2O.ai Case Study

H2O.ai cuts POC wait time from 6 months to instant deployment with Replicated

H2O.ai, an AI and machine learning platform, needed to deliver a complete AI appliance to customers in highly secure, air-gapped environments. Their challenge was eliminating long hardware procurement cycles and complex deployments for clients like government agencies and banks. They partnered with the vendor Replicated to solve this using their Embedded Cluster product.

By leveraging Replicated's Embedded Cluster, H2O.ai created a pre-configured appliance that integrates hardware and software into a single, easy-to-deploy solution. This eliminated a six-month hardware wait for proofs of concept, drastically speeding up their sales cycle. Replicated's solution provided a secure, streamlined deployment that reduced the need for technical personnel on the customer side and ensured reliability.


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