Where Can NVMe Computational Storage Make a Difference?

Aug 03 2018

NGD Systems

An image of the VMworld 2018 summit in Las Vegas.

This week in Las Vegas, VMWare held the VMworld 2018 summit. While a lot of the discussion was about moving applications to the cloud, there was equally as much discussion about edge computing, the Internet of Things (IoT), and petabyte-scale real-time analytics. While computational storage can’t help with the first of these topics (at least not until AWS, Microsoft Azure, or Google Cloud starts using our products), we can definitely help with the last two of these. One of the places where computational storage shines is read-centric parallel analytics (e.g., lots of parallel operations on a single dataset). Last month we talked about how we accelerated the Facebook Artificial Intelligence Similarity Search (FAISS) algorithm using our computational storage devices; over the next few months we will also run benchmarks against other applications that we can have a positive impact on. We also expect to have more to say soon on IoT as we work with Microsoft Research. Stay tuned!

355 Goddard, Suite 200
Irvine, CA 92618

For Sales Inquiries:

sales@ngdsystems.com

For General Inquiries:

info@ngdsystems.com