What AI Companies Need to Consider When Going Self-Hosted

AI companies transitioning to self-hosted solutions must navigate several critical considerations to ensure scalability and market success. These include developing a flexible deployment model that accommodates both sophisticated and less experienced customer environments, particularly when operating in regulated industries where air gap solutions are required. Automated preflight checks and structured troubleshooting processes are crucial to mitigate installation risks associated with varied Kubernetes environments and resource constraints, while release management and licensing should be treated as integral parts of the customer experience to prevent complications like version drift and support overload. By viewing self-hosted options as a strategic distribution channel from the outset and leveraging tools like those offered by Replicated, companies can focus on expanding their market reach without overwhelming their engineering teams.