End-to-end AI data management at scale: A deeper dive
Artificial Intelligence Series
Session 2 of 4
Abstract
With NetApp and NVIDIA, build an integrated data pipeline that spans from edge to core to cloud. ONTAP AI leverages your data fabric to unify data management across the data pipeline with a single platform. Learn how the NetApp Data Science Toolkit enables data scientists and data engineers to provision, destroy, clone, and snapshot data volumes in seconds. Hear how NetApp AI portfolio delivers efficient and scalable performance for the most demanding ML/DL workloads.
Key takeaways
- NetApp integrates with standard open-source tools that enable users to automate the ingesting of data from a variety of sources across disparate environments
- NetApp enables customers to build an AI/ML/DL environment that spans edge, core, and cloud, and is integrated with legacy and modern data sources
- The NetApp Data Science Toolkit enables data scientist self-service by wrapping NetApp data management capabilities in a simple Python interface
- The NetApp AI portfolio delivers efficient and scalable performance for the most demanding ML/DL workloads
Other sessions
Check out other sessions in this series:
Speaker bio by region
Meet the specialists ready to help simplify your data challenges. Expect to dive into real-world, industry-specific questions—they’re experts who love to talk shop.
Mike Oglesby
Technical Marketing Engineer
Dave Arnette
Technical Marketing Engineer
William Vick
NVIDIA l Head of NALA DGX and AI Data Center Solutions
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