Insights and perspectives from NVIDIA GTC 2025

NVIDIA GTC 2025 showcased major breakthroughs in AI infrastructure, model development, and robotics. Notable announcements included:

• Blackwell Ultra AI Factory Platform: Rack-scale infrastructure for efficient, large-scale training and inference workloads.
• Llama Nemotron Open Reasoning Models: Improved models optimized for complex reasoning tasks, beneficial with appropriate governance.
• NVIDIA Dynamo: Open source inference software simplifying scalable model deployment.
• NVIDIA HALOs: Autonomous vehicle safety system emphasizing transparency and regulatory compliance, critical for enterprise deployment.
• Isaac GR00T N1 Robot: Open source library and foundation model supporting generalized humanoid robotic tasks.

NVIDIA reaffirmed its vision of AI factories as the future of enterprise computing. These announcements reflect the ongoing shift toward operationalized AI in enterprises, emphasizing the need for robust governance, thoughtful integration, and practical implementation strategies.

Enterprise AI adoption needs

At NVIDIA GTC, Domino’s CMO, Thomas Been, joined Ravit Jai on The Ravit Show, discussing the evolving role of enterprise AI platforms as AI becomes an integral role for business strategy. They also highlight Domino’s approach as purpose-built for enterprise AI — balancing innovation with security, collaboration, and compliance.

Tame AI sprawl: Unify models, data, and infrastructure across hybrid clouds

For Domino, GTC was a chance to highlight how we're helping enterprises unify and scale AI across hybrid environments, in partnership with industry leaders like NetApp and NVIDIA.

Domino Volumes for NetApp ONTAP (DVNO) provides efficient, versioned, and structured filesystem storage tailored for data science workflows. With DVNO, data scientists get self-serve capabilities to manage, access control, snapshot and mount NetApp ONTAP volumes directly within Domino, enabling:

• Ultra-fast snapshotting for full reproducibility and seamless collaboration across teams
• Automatic cost savings via data de-duplication and efficient storage configuration
• Seamless hybrid and multicloud data movement for full saturation of GPU resources

Learn more about DVNO here, or check out Domino’s Josh Mineroff, Director of Solution Architecture, Tech Partners, in his GTC theater session — available on-demand in the GTC session catalog.

BNP Paribas Cardif: Harmonizing AI at enterprise scale

A standout financial services session featured BNP Paribas Cardif's journey to balance innovation with governance. Fabrice Le Chatelier, Head of BNP’s Data Science Office, alongside Francois Urbain, Director of Customer Success, Domino, shared insights on:

• Scaling AI across the organization: Transitioning from siloed AI teams to centralized strategies, optimizing collaboration.
• Infrastructure harmonization: Working with Domino to create shared GPU infrastructure, significantly improving resource allocation and cost efficiency.
• AI governance and sovereignty: Adhering to strict compliance frameworks, including the EU AI Act, balancing open source with proprietary solutions.
• Generative AI and financial services: Responding to the "ChatGPT moment" with increased focus on data security and regulatory compliance when deploying large language models.

See the session now, available on-demand in the GTC session catalog.

Looking ahead

As AI continues to rapidly evolve, enterprises will need scalable and governed solutions more than ever. Domino remains committed to driving responsible, effective AI adoption, enabling organizations to leverage emerging technologies and infrastructure confidently. Stay connected with us for more insights, practical strategies, and partnerships that help your enterprise scale AI successfully. Plus, stay tuned for more enterprise AI perspectives with Domino and NetApp in an upcoming blog featuring an interview with NetApp.

Looking to gain more practical strategies? Join us at our upcoming RevX conference series — May 8th in NYC, May 20th in Philadelphia, and June 24th in London. Register now to connect with industry leaders and explore innovations and best practices in enterprise AI.