The movement of AI from pilot to production in enterprise and government environments requires a combination of advanced models, efficient deployment, and real-world applicability. H2O.ai has announced an expanded integration of NVIDIA technologies, including Nemotron models and NIM microservices, into its enterprise AI platform. These integrations, which are part of the NVIDIA AI Factory for Government reference design, are designed to enable faster, safer, and more cost-efficient AI deployments, demonstrated through a new Flood Intelligence Blueprint.
H2O.ai integrates NVIDIA Nemotron models and NIM microservices into its platform.
A new Flood Intelligence Blueprint uses AI for predictive flood risk analysis.
The integrations are part of the NVIDIA AI Factory for Government reference design.
NVIDIA NIM microservices significantly reduce LLM setup time and operational overhead.
The Llama Nemotron Super reasoning model is now available in the h2oGPTe platform.
The solutions are designed for sovereign AI deployments, targeting FedRAMP High authorization.
The collaboration spans three key areas. First, the Flood Intelligence Blueprint is a reference design that leverages NVIDIA NeMo, Nemotron models, and H2O.ai's platforms to forecast and mitigate flood risks in real-time by integrating weather and hydrology data.
Second, H2O.ai is leveraging NVIDIA NIM microservices to accelerate LLM operations, streamlining model onboarding and scaling. Performance evaluations show NIM offers instant setup versus 30 minutes for alternatives, with lower cost and faster response times.
Third, the powerful Llama Nemotron Super 1.5 reasoning model has been integrated directly into H2O.ai's h2oGPTe platform, which is designed to achieve FedRAMP High authorization for use in mission-critical federal environments.
Sri Ambati, founder and CEO of H2O.ai, stated, “Our work with NVIDIA goes beyond technology; it’s about trust, speed, and impact. By bringing together Nemotron reasoning, NIM microservices, and a Flood Intelligence Blueprint, we are showing enterprises and governments not just how to deploy AI faster, but how to do so responsibly and at scale.”
John Fanelli, vice president of Enterprise Software at NVIDIA, added, “NVIDIA and H2O.ai are enabling the world to deploy AI faster by bringing the performance of NVIDIA Nemotron open reasoning models and the simplicity of NIM microservices directly into h2oGPTe.”
These integrations underscore a shared commitment to sovereign AI—deployments that are secure, compliant, and infrastructure-flexible. By combining advanced open models with efficient microservices and practical blueprints, H2O.ai and NVIDIA are providing a clear path for enterprises and governments to achieve tangible, high-impact outcomes with AI, from enhancing climate resilience to improving operational decision-making.
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500.
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