Accelerate AI/ML Deployments with Enterprise-grade MLOps


A growing number of organizations are integrating AI/ML workloads into cloud-native applications to deliver more insight and value from their data. However, there are a number of challenges in adopting, accelerating, and scaling ML operations (MLOps) across the enterprise in a predictable fashion.

NVIDIA and Red Hat have been working with organizations globally to understand their AI/ML challenges and delivering supported solutions to accelerate the adoption of AI-powered applications.

Join us for this keynote to learn more about a turnkey enterprise-ready platform from NVIDIA and Red Hat that helps data scientists, developers, and IT operations to securely build, deploy, manage, and scale AI workloads consistently across environments.


Matt leads OEM enablement for partner software-based solutions at NVIDIA. Most of Matt’s background is in open source infrastructure, holding roles in technical sales, product management, and business development. Prior to that, Matt worked as a solution architect designing one of the first enterprise grade multi-tenant container-as-a-service private clouds. He holds a bachelor’s science degree in computer science and applied computational physics from Hampden-Sydney College.

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