Emerging edge use cases need to process vast amounts of data and yield AI-driven insights faster than ever. These systems are increasingly in the critical path and need to handle host failures without a hiccup for mission-critical environments. This session explores a new solution that combines leading computational storage technology from NGD Systems, a VMware Tanzu Greenplum database and VMware vSphere 7 for a high-performance, zero-downtime edge analytics solution. You’ll learn how to enable computational storage with GPUs by using vSphere Bitfusion technology, allowing efficient machine learning inference and even training new models at the edge. We’ll show how VMware vSAN and vSphere Fault Tolerance work together to offer zero-downtime edge analytics for a small form factor deployment.
Compute at the Edge Is Paramount, Learn How to Get Compute at the Drive Level!
With the growth of data generation at the Edge and need to get value from that data quickly, the market has run into a hurdle on how to get enough compute and processing with the available space, power and budget. The ability to deploy compute resources within the storage devices with Computational Storage is key to the growth of this market.
Rugged Computational Storage Webinar ┃ Trenton Systems and NGD Systems
Join Trenton Systems' Director of Marketing & Business Development, Yazz Krdzalic, and NGD Systems' Vice President of Marketing, Scott Shadley, on Tuesday, Feb. 9, as they discuss their recent partnership and joint end-to-end solutions.
One Year after COVID-19: How Did Storage Architectures Perform for Biotech AI Modeling and What Can We Learn From This?
Computer modeling and artificial intelligence (AI) are two technologies that were expected to help the pharmaceuticals and biotech industry provide solutions to new and emerging diseases. Storage performance and data management are key to the effectiveness of both of these capabilities. Join a panel including Weka, NetApp, NGD Systems and other industry experts to discuss the storage architectures and technologies that supported researchers, and what we can learn from these experiences.