The United States Federal Government plays an important part in disaster relief, humanitarian assistance, and disease control, for which technology is increasingly essential. GPU-accelerated AI systems are being deployed to assist during natural disasters, keeping first responders out of harm’s way, and saving lives. Data storage, accessibility to tons of data, and management of this data is at the cornerstone of building such a production-grade AI system.

Infrastructure challenges are primary inhibitors when it comes to implementing such a large scale AI data pipeline. The challenges include massive data ingest and concurrency to cater to edge devices, Deep Neural Net (DNN) training, inferencing, and lifecycle management of datasets.

NVIDIA solves these challenges with its leadership in accelerated computing. SwiftStack, as NPN (NVIDIA Partner Network) storage solution advisor partner, solves the data storage and Data management challenge for these pipelines.

During this webinar, attendees discovered:

• SwiftStack Data platform and proof points
• NVIDIA Accelerated Compute Platform (DGX Family)
• What are the infrastructure challenges associated with large scale AI pipelines
• How the NVIDIA and SwiftStack combined solution is targeted to solve these challenges