Ojus Save on how render is rethinking cloud for AI workloads

The cloud infrastructure market is rapidly evolving to accommodate the unique demands of AI workloads, which differ significantly from traditional web applications in terms of requirements like GPU access and burst compute. In a conversation at HumanX 2026, Ojus Save from Render discussed how Render is simplifying AI deployment by applying the same user-friendly principles that made it popular for web apps, such as push-to-deploy and managed infrastructure, to AI workloads. Render is focusing on abstracting the complexities of GPU provisioning, enabling developers to deploy AI models with ease, without needing extensive infrastructure expertise. This approach aims to bridge the gap between prototyping and production, which often requires a switch to more complex infrastructure, by maintaining continuity as developers scale their AI projects. The emphasis on developer experience is highlighted as a key differentiator, with Render positioning itself as a platform that prioritizes usability over extensive configurability, making AI infrastructure as accessible as that for web apps.