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Kubernetes is becoming the consensus API for infrastructure for IT professionals. For data scientists, the once-onerous task of environment and package management is made tremendously easier by containers. And Kubernetes brings a whole new set of benefits for data scientists, including making models portable and reproducible and future-proofing infrastructure.

In this panel discussion moderated by Chris Yang, CTO and co-founder of Domino Data Lab, Craig McLuckie, VP of R&D at VMware, and Chris Lamb, VP of GPU computing platforms at NVIDIA, will discuss challenges in scaling data science — and how virtualized, containerized data science workloads set the foundation for AI adoption in the enterprise.

Vendor:

NVIDIA

Premiered:

Jul 20, 2022

Format:

Video

Type:

Webcast