Interview, Fireside Chat, Conference Presentation
Rajiv Ramaswami, Nutanix ｜ RAISE Summit 2025
- Nutanix and Nvidia will combine infrastructure and AI capabilities to provide turnkey inference endpoints, embedding Nvidia's NVAI Enterprise Stack, microservices, and automated model workflows into a Kubernetes-based platform that hides underlying complexity for users.
- Enterprises are expected to primarily consume pre-trained models and build inferencing applications rather than creating or training models, with simple use cases like content summarization and chatbots deployable on small clusters without massive investment.
- Over the next five to 10 years, nearly all applications running on the Nutanix platform will incorporate some form of AI, driven by a shift where the vast majority of enterprises build applications using shared infrastructure and APIs rather than internal coding.
- IT strategies will pivot toward supporting broad-scale adoption across data centers, edges, and public clouds to ensure data is consumed securely, allowing companies to run applications where data resides while maintaining IP protection.
- A strategic transition is planned from the current bulk of virtual machine applications to a future state of containerized modern applications, leveraging Nutanix's existing base of 28,000 customers including the top 2,000 global companies.
- Automation workflows will evolve continuously to include self-generation of requirements, test cases, and sophisticated multi-agent systems, reducing the need for manual coding and reimagining software development processes.
- The market outlook anticipates a period of evolution with various failures and successes, eventually reaching a stage of ubiquitous adoption where AI becomes an invisible utility similar to the internet, focusing on practical production use rather than conceptual ideas.