Scalable NVMe Computational Storage
Listening to Customer Requirements and delivering solutions that provide NVMe SSDs with In-Situ Processing to drive compute capability at the storage device. This unites NVMe SSD storage and compute to satisfy the growth of Edge, Datacenters and Accelerate AI Workload Deployments.
NGD Highlights
A Computer Weekly buyer’s guide to computational storage and persistent memory
Companies are finding that computational storage can solve the data bottleneck. In this 14-page buyer’s guide, Computer Weekly takes a closer look at its benefits, how it can be used and the advantages of faster computing
Read The Report2021 Big50 Startup Report
Among 180 startups that competed, only 50 stood out and earned a spot as top players to watch in 2021, NGD Systems being one of them. Read this report from Jeff Vance.
Read The ReportThe 20 Coolest Storage Component Vendors: The 2021 Storage 10
NGD Systems' storage component that's been giving software and data the right base on which to operate is part of this year's Top 20 Storage Component providers as published on CRN's 2021 Storage 100.
Read NewsBringing Intelligence to Storage
Overcoming the Data Tsunami
Data growth is creating a gap in today’s compute infrastructure due to the amount of information that is generated versus the results required. By supplying the ability to sort, search, scan and derive value from data at the source is paramount to success in overcoming the data Tsunami.
Artificial Intelligent (AI), Machine Learning (ML) and all workloads require a new method to provide real time results. That is the power of In-Situ Processing
In the News
Nuke checker Los Alamos Labs investigating NGD computational storage
Tuesday, August 3, 2021
US nuclear weapon stockpile health checker Los Alamos Labs is looking to see if computational storage can speed up simulation modelling runs on its supercomputers.
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Computational storage: A Computer Weekly analysis series
Friday, June 11, 2021
Some architectures call for big chunks of memory-like storage located near the compute function, while, conversely, in some cases, it makes more sense to move the compute nearer to the bulk storage. In this series of articles we explore the architectural decisions driving modern data processing… and, specifically, we look at computational storage
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Computational storage: NGD Systems / SNIA - Icebergs at the Edge
Thursday, June 10, 2021
Software runs on data and data is often regarded as the new oil. So it makes sense to put data as close to where it is being processed as possible, in order to reduce latency for performance-hungry processing tasks.
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Saving FAISS with In-Situ Processing
Our Revolutionary Computational Storage Solutions use In-Situ Processing (to process within the storage) to solve modern AI and ML workloads. As much as 500x faster than traditional Architectures.
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QoS, Not IOPS and GBs is Key
Current metrics on SSD storage are no longer valid for solving today’s workloads and needs. The need to look beyond IOPS and GBs and focus on execution and QoS is paramount to be successful with managing your data that is now more valuable than ever
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Capacity Scaling Done Right
With the data tsunami coming, the ability to store and manage all of that data becomes a challenge. Not only do you need to get more capacity in a single device, but having that device manage its on data is key. See how High Capacity Storage combined with Compute options solves scale issues.
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