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NGD Systems NVMe Computational Storage chip for In-Situ Processing.
NGD Systems NVMe Computational Storage chip for In-Situ Processing.
NGD Systems NVMe Computational Storage chip for In-Situ Processing.

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.

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NGD Highlights

WHITEPAPER

The ball starts rolling for NGD’s computational storage

The emerging field of computational storage has attracted attention as a way to accelerate machine learning and other data-intensive applications in data centers and edge locations. Startup NGD is one of the companies pioneering the technology and says it is beginning to see large deployments of its products.

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RESOURCES

ACM Transactions on Storage, Computational Storage Special Edition

NGD Systems works with Microsoft to highlight the value of Computational Storage at Scale. Available in the first ever "ACM Transactions on Storage, Computational Storage Special Edition.

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NEWS

The 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.

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Bringing Intelligence to Storage

NVMe Computational Storage chip processing big data through powerful and advanced In-Situ Processing.

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

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In the News

Computational storage: A Computer Weekly analysis seriese

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

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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Computational Storage Hits the Mainstream

Computational Storage Hits the Mainstream

Tuesday, May 11, 2021

There’s an idea that has been kicking around for a number of years, and it seems now to be gaining traction.

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Cloud computing solves modern artificial intelligence and machine learning workloads.

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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Data storage for applications maximizes performance of compute and storage infrastructure.

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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Solid-state drive (SSD) for data migration allows local data processing to occur and optimizes overall system performance.

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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