Agentic AI at Scale: Unlocking Enterprise Value with Domain-Specific LLMs and Exabyte Data

We’d like to personally thank Savannah Peterson and Dave Vellante for an engaging and insightful discussion on theCUBE, where we discussed the importance of AI’s convergence with enterprise data at scale. NVIDIA GTC always spotlights where AI is headed, from new GPU architectures to state of the art large language models (LLMs). During the conversation, Sri Ambati, our founder and CEO, emphasized how enterprises must marry domain-specific knowledge with advanced AI technologies to drive transformational outcomes. This marriage is the essence of “agentic AI”—where generative and predictive capabilities converge to solve real business problems.

In that spirit, H2O.ai is announcing two key initiatives that bring agentic AI into the enterprise mainstream:

1. A joint offering with VAST Data that unlocks exabyte-scale, retrieval-augmented AI for private data.
2. H2O Enterprise LLM Studio running on Dell infrastructure, delivering Fine-Tuning-as-a-Service so companies can securely distill and fine-tune large language models (LLMs) for defined use cases.

1. Agentic AI Meets Exabyte-Scale Data (H2O.ai + VAST Data)

During theCUBE session, Sri noted how “organizations have an ocean of data that’s often siloed, unstructured, or locked away in different environments.” The unified solution from H2O.ai and VAST Data answers this challenge head-on:

• Exabyte-Scale Storage & Retrieval: VAST Data’s platform manages data across different modalities—text, images, video, sensor data—enabling truly comprehensive AI-driven insights.
• Agentic AI Interface: H2O.ai’s h2oGPTe goes beyond standard chatbots; it can retrieve relevant data, execute code, and integrate with APIs to provide domain-specific, context-rich answers—whether for supply chain optimization or accelerated R&D discovery.
• Deployment Anywhere: Many companies want on-premise or airgapped solutions for security and compliance. Our containerized approach supports on-prem, cloud, and private data centers—fitting seamlessly into existing IT footprints.

“When AI is married to data scale, the value to the enterprise multiplies!”

Sri Ambati

on theCUBE

That is exactly what we’re delivering: an environment where generative AI is directly fueled by your largest and most specialized datasets.

2. Fine-Tuning-as-a-Service (Enterprise LLM Studio on Dell)

In their conversation, Sri emphasized that “large language models are remarkable, but they’re most powerful when they understand your domain and speak your business language.” That’s precisely where the H2O Enterprise LLM Studio comes in:

• Distillation & Fine-Tuning: We help enterprises compress large LLMs into smaller, more efficient versions—and then fine-tune them using proprietary datasets and domain expertise. This yields better accuracy, speed, and cost-efficiency.
• Lower Inference Costs: Through state of the art techniques like QLoRA and FSDP, we’ve cut inference latencies by 75% and operational expenses by up to 70%.
• Secure On-Premise Hosting: Because everything runs on Dell’s trusted infrastructure, businesses can ensure data privacy and compliance. This is crucial for industries like financial services, banking, healthcare, and the public sector.

“Every organization has its own DNA—its unique data, terminology, and processes. A one-size-fits-all LLM just can’t deliver those mission-critical results.”

Sri Ambati

Founder and CEO, H2O.ai

With H2O Enterprise LLM Studio, companies have a no-code or low-code path to adapt AI models to that special DNA.

Converging Generative & Predictive AI

One of the points Sri explored on theCUBE is the convergence of generative AI with predictive modeling.

“You cannot truly transform a business if you keep generative and predictive AI in separate silos.”

Sri Ambati

on theCUBE

At H2O.ai, we’ve always believed in democratizing AI for everyone, from data scientists to line-of-business owners. With new generative technologies, we’re taking another leap forward.

Our h2oGPTe agentic framework merges the interpretability, rigor, and ROI-focus of predictive models with the creativity and adaptability of generative AI—allowing enterprises to build solutions that are both powerful and practical.

Looking Ahead: NVIDIA GTC & Beyond

As highlighted on theCUBE, “bringing your entire enterprise on the AI journey” is key. That’s why H2O.ai, VAST Data, and Dell Technologies are focused on end-to-end solutions that reduce friction—across data management, model building, deployment, and daily usage.

Stop by H2O.ai at NVIDIA GTC (booth #3246) to see the world’s #1 agentic AI and learn about model distillation and fine-tuning SLMs, and to see our H2O.ai customer session:

• Monday, Mar 17, 2025 (4:00 PM - 4:40 PM PDT) Driving Telco Innovation: Distilling Large Models Into Economical Small Language Models for Agentic Workflow Automation Presented by Hien Lam (AT&T) and Ryan Chesler (H2O.ai Kaggle Grandmaster)

REGISTER HERE

Final Thoughts

“AI is the new electricity for every industry—finance, healthcare, manufacturing—and we’re still in the early innings.”

Sri Ambati

Founder and CEO, H2O.ai

At H2O.ai, we envision a future where AI isn’t just a buzzword, but a standard operating principle that shapes every decision an organization makes.

With the combined strength of VAST Data’s exabyte-ready platform and the Dell-powered Enterprise LLM Studio for fine-tuning, we’re giving businesses the freedom to harness all their data—and shape it into domain-specific AI models that deliver tangible, transformational value.

See you at NVIDIA GTC and let us know if you spot one of our ads on Hwy 101 and San Jose VTA lightrail!