H2O.ai, a global leader in agentic and predictive AI, has expanded its collaboration with NVIDIA to deliver next-generation AI solutions for enterprises and governments. The company announced deeper integration of NVIDIA Nemotron models, NVIDIA NIM microservices, and GPU-accelerated NVIDIA AI Blueprints marking a significant milestone in its mission to advance secure, sovereign AI at scale. Through these integrations, H2O.ai strengthens its position within the NVIDIA AI Factory for Government reference design, empowering organizations to move AI from pilot stages to full production more efficiently, securely, and affordably.
Moreover, H2O.ai is prominently featured in the NVIDIA AI Factory for Federal Government whitepaper, unveiled at NVIDIA GTC DC, highlighting its leadership in secure and sovereign AI deployments.
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Flood Intelligence Blueprint: AI for Predictive Risk Analysis
In a major step toward climate resilience, H2O.ai launched the Flood Intelligence Blueprint, powered by NVIDIA technologies. This reference design uses the NVIDIA NeMo Agent Toolkit, Nemotron models, NIM microservices, and H2O.ai’s h2oGPTe and Driverless AI platforms to predict, assess, and mitigate flood risks in real time. It integrates trusted weather and hydrology data from NOAA, USGS, and Open-Meteo with multi-agent AI systems to help governments, insurers, utilities, and first responders manage extreme weather events effectively.
Key integrations include Llama Nemotron-49B combined with H2O’s RAG pipeline for domain-specific Q&A assistants, NeMo Agent Toolkit with h2oGPTe for AI workflow orchestration, NeMo Evaluator for safe benchmarking, and NIM for secure AI model deployment. Available through build.nvidia.com, this blueprint showcases how H2O.ai and NVIDIA are using AI to promote public safety and climate resilience.
LLM Ops Powered by NVIDIA NIM
H2O.ai is also enhancing its LLM Ops with NVIDIA NIM microservices to simplify AI model onboarding, testing, and scaling. Compared to open-source runtimes, NVIDIA NIM significantly cuts setup time, operational costs, and latency delivering faster responses and superior performance. This integration helps organizations accelerate time-to-value while reducing infrastructure complexity in large-scale AI operations.
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Integrating Llama Nemotron Super 1.5 into h2oGPTe
Taking enterprise AI a step further, H2O.ai integrated NVIDIA’s Llama Nemotron Super 1.5, the world’s top-performing open reasoning model, into its h2oGPTe platform. Built to meet FedRAMP High security standards, h2oGPTe enables federal agencies to operate multi-LLM ecosystems safely for mission-critical tasks like disaster response and infrastructure resilience. Optimized for NVIDIA Hopper GPUs with a 128,000-token context window, Nemotron enhances reasoning, governance, and compliance across enterprise workflows such as customer support and decision intelligence.
“Our work with NVIDIA goes beyond technology; it’s about trust, speed, and impact,” said Sri Ambati, founder and CEO of H2O.ai. “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. As part of the NVIDIA AI Factory reference design, we are building the foundation for sovereign, trustworthy AI that serves both industry and society.”
John Fanelli, vice president of Enterprise Software at NVIDIA, added, “Enterprises and governments everywhere are racing to adopt AI copilots and intelligent agents to bring intelligence to operations and boost productivity. 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.”
The Flood Intelligence Blueprint is now available at build.nvidia.com, while the Llama Nemotron Super 1.5 integration and NIM-powered workflows are accessible within the h2oGPTe platform for enterprise deployments.
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