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  • Data Fabric Solutions for High Performance Data Analytics and Large Scale AI Applications
    Data Fabric Solutions for High Performance Data Analytics and Large Scale AI Applications
    Data Fabric Solutions for High Performance Data Analytics and Large Scale AI Applications

    Data Fabric Solutions

Samsung Cognos Management Console
Samsung Cognos Management Console
Samsung Cognos Management Console

Centralized controller provides flexible management and orchestration
Centralized controller provides flexible management and orchestration
Centralized controller provides flexible management and orchestration
Simplify the management of CXL based infrastructure
Simplify the management of CXL based infrastructure
Simplify the management of CXL based infrastructure

Software
Components
Software
Components
Software
Components

• Management Console – Allows for memory pooling and sharing to be orchestrated
• Application plugins – CXL plugins that allow user applications to utilize heterogenous memory devices
• Agents – Converts servers with CXL devices into memory targets to form a memory pool
• Management Console – Allows for memory pooling and sharing to be orchestrated
• Application plugins – CXL plugins that allow user applications to utilize heterogenous memory devices
• Agents – Converts servers with CXL devices into memory targets to form a memory pool
• Management Console – Allows for memory pooling and sharing to be orchestrated
• Application plugins – CXL plugins that allow user applications to utilize heterogenous memory devices
• Agents – Converts servers with CXL devices into memory targets to form a memory pool

Cognos Solution Architecture
Cognos Solution Architecture
Cognos Solution Architecture

Key Features

• Ease-to-use, composable and fine-tuned user interface to manage memory
• REST API support
• Topology view of CMM (CXL Memory Module) devices, switch and hosts
• CXL Memory allocation/deallocation with direct and pooling mode
• Host memory usage & statistical visualization

Benefits

• Dynamic memory allocation and deallocation as required by application
• Intelligent metrics of resource usage and statistical visualization
• Easily integrate-able into customer infrastructure and associated applications

White Paper
A visual representation of Samsung's Cognos system for CXL Memory Management and Analytics, highlighting the data flow between the hardware, management software, and the user
A visual representation of Samsung's Cognos system for CXL Memory Management and Analytics, highlighting the data flow between the hardware, management software, and the user

SSD Value Kit
SSD Value Kit
SSD Value Kit

Experience SSD Innovations with Ease of Adoption
Experience SSD Innovations with Ease of Adoption
Experience SSD Innovations with Ease of Adoption
Reduce development costs, time to market, and provide innovative solutions for businesses
Reduce development costs, time to market, and provide innovative solutions for businesses
Reduce development costs, time to market, and provide innovative solutions for businesses
SSD Value Kit
SVK Architecture
SVK Architecture
SVK Architecture
SVK Architecture

Benefits
Benefits
Benefits

• App Centric Deployment : Easy Adoption for premium feature of Samsung products
• Sustainable SSD as-a-Service : Reduced TCO (>ROI with subscription)
• Delegated Management: Easy configuration, SSD feature plug-ins
• Faster Time to Market : Software framework designed to help adopt next-gen. Samsung SSDs faster
• App Centric Deployment : Easy Adoption for premium feature of Samsung products
• Sustainable SSD as-a-Service : Reduced TCO (>ROI with subscription)
• Delegated Management: Easy configuration, SSD feature plug-ins
• Faster Time to Market : Software framework designed to help adopt next-gen. Samsung SSDs faster
• App Centric Deployment : Easy Adoption for premium feature of Samsung products
• Sustainable SSD as-a-Service : Reduced TCO (>ROI with subscription)
• Delegated Management: Easy configuration, SSD feature plug-ins
• Faster Time to Market : Software framework designed to help adopt next-gen. Samsung SSDs faster

SVK(SSD Value Kit)
Zero ETL
SVK(SSD Value Kit)
Zero ETL
SVK(SSD Value Kit)
Zero ETL

Zero ETL is one of the popular use cases in database world. It incurs multiple data transfer and copy overhead currently. SVK’s zero-ETL framework aims to reduce or eliminate the extra data transfer and copy in the ETL path by providing the easy interface to allow Data Modelers and AI engineers to perform data intensive tasks e.g. Synthetic Data Generation, ML calculation and Transformations near to the data source. This reduces the need of big data extract and load requirements enabling faster and TCO effective ETL Pipelines.
Zero ETL is one of the popular use cases in database world. It incurs multiple data transfer and copy overhead currently. SVK’s zero-ETL framework aims to reduce or eliminate the extra data transfer and copy in the ETL path by providing the easy interface to allow Data Modelers and AI engineers to perform data intensive tasks e.g. Synthetic Data Generation, ML calculation and Transformations near to the data source. This reduces the need of big data extract and load requirements enabling faster and TCO effective ETL Pipelines.
Zero ETL is one of the popular use cases in database world. It incurs multiple data transfer and copy overhead currently. SVK’s zero-ETL framework aims to reduce or eliminate the extra data transfer and copy in the ETL path by providing the easy interface to allow Data Modelers and AI engineers to perform data intensive tasks e.g. Synthetic Data Generation, ML calculation and Transformations near to the data source. This reduces the need of big data extract and load requirements enabling faster and TCO effective ETL Pipelines.
SVK- Zero ETL

Disaggregated Storage Solution (DSS)
Disaggregated Storage Solution (DSS)
Disaggregated Storage Solution (DSS)

Samsung has developed DSS, a rack-scalable, very high read-bandwidth-optimized, Amazon S3-compatible object storage solution.
It utilizes a disaggregated architecture, enabling independent scaling of storage and compute. DSS is designed to make the most of system-level design, and Samsung’s best SSDs, to get the maximum performance while minimizing OPEX costs.
Samsung has developed DSS, a rack-scalable, very high read-bandwidth-optimized, Amazon S3-compatible object storage solution.
It utilizes a disaggregated architecture, enabling independent scaling of storage and compute. DSS is designed to make the most of system-level design, and Samsung’s best SSDs, to get the maximum performance while minimizing OPEX costs.
Samsung has developed DSS, a rack-scalable, very high read-bandwidth-optimized, Amazon S3-compatible object storage solution.
It utilizes a disaggregated architecture, enabling independent scaling of storage and compute. DSS is designed to make the most of system-level design, and Samsung’s best SSDs, to get the maximum performance while minimizing OPEX costs.
Disaggregated Storage Solution (DSS)

Use Cases
Use Cases
Use Cases

• Large-scale, high-throughput training
• Image Analytics
• Audio/Video AI
• Metaverse
• Large-scale, high-throughput training
• Image Analytics
• Audio/Video AI
• Metaverse
• Large-scale, high-throughput training
• Image Analytics
• Audio/Video AI
• Metaverse
A bar graph comparing the performance of Linux NFS with DSS S3 across a varying number of nodes, indicating a threefold increase in performance

Benefits
Benefits
Benefits

• High throughput storage access- 3X better than NFS
• 20% better than GPU accelerated Leading Enterprise Filesystem
• True Scalable solution
• Lower TCO with less storage nodes serving more clients
• High throughput storage access- 3X better than NFS
• 20% better than GPU accelerated Leading Enterprise Filesystem
• True Scalable solution
• Lower TCO with less storage nodes serving more clients
• High throughput storage access- 3X better than NFS
• 20% better than GPU accelerated Leading Enterprise Filesystem
• True Scalable solution
• Lower TCO with less storage nodes serving more clients
A comparative performance bar chart where Leading Enterprise FS demonstrates a 1.8 times performance boost over a DSS-S3 Benchmark and a further 20% increase with GPU acceleration
Evolving Storage for a new Generation of AI/ML Evolving Storage for a new Generation of AI/ML Evolving Storage for a new Generation of AI/ML

Publication / Additional Resources

  • [White Paper] Samsung Cognos Management Console

    Samsung, being the world leader of DRAM and Flash memory technologies, has recognized early on the potential for a CXL based solution architecture. Samsung heavily invested into building in-house technologies, know-how, and device solutions to fully enable the capabilities that CXL brings to the next-generation system architecture. These investments include the CXL Memory Module – DRAM (CMM-D) device, CXL Memory Module PMEM/Hybrid devices (CMM-H), and the solution level device CXL Memory Module – Memory Box (CMM-B). Additionally, Samsung has invested in a set of world-class firmware, drivers, APIs and management software to enable customers to quickly adopt these solutions that are aimed at reducing their total cost of ownership.

    Samsung Cognos provides the glue that stitches all of the CXL-based technologies and devices into one homogeneous and integrated solution that developers and customers can easily adopt and use in their cloud or private data center solutions and services. Cognos includes a software developer kit that provides the foundational software components that are needed to quickly utilize the new CXL-based devices with customer applications and a host of management software, including a GUI to manage one-to-many server/switch nodes to handle rack-level cluster/system management. Samsung Cognos addresses memory stranding problems by pooling memory into a global resource that is shareable and reusable by resources across the data center. It provides a value-added software layer for Memory Box and CMM-D in the host to enable easier adoption by applications with easy-to-use interfaces.

    Details

  • [White Paper] SVK Zero-ETL: Solution for Data Intensive AI Models

    Zero-ETL is an approach that aims to minimize or eliminate the traditional ETL processes that are typically used to extract data from source systems, transform it into the desired format, and then load it into a data warehouse or data lake for analysis. In the context of Zero ETL, the data is often accessed in real-time or near real-time, eliminating the need for batch processing. This approach is becoming more popular with the advent of technologies like Change Data Capture (CDC) and streaming data pipelines.

    Details

  • [Webinar] Optimizing Data Architecture with Samsung SVK & VMware Greenplum (10/3/2023)

    Optimizing Data Architecture with Samsung SVK & VMware Greenplum

    Ivan Novick, Director, VMware & David McIntyre, Director, Samsung & Pramod Peethambaran, Director, Engineering, Samsung

    About this talk :

    Join our informative webinar for a detailed review of a data architecture, crafted with Samsung’s advanced storage solutions and VMware Greenplum’s data processing capabilities. We’ll walk through the design principles, key architectural elements, and their role in enhancing system performance. We’ll also present test data to provide a clear picture of the architecture’s performance and explain the trade-offs made during the design process. This session aims to equip you with practical insights to leverage the latest Samsung hardware technologies and build high-performance systems. Immerse yourself in this exploration of data warehousing and analytics optimization.

    Video

  • [Webinar] High Performance Object Storage(HPOS)

    High Performance Object Storage (HPOS) stack enables disaggregated storage over multiple CMM-HC (Samsung’s computational storage drives). A data centric solution abstracting which computational function runs in which accelerator layer (i.e. CPU, GPU, XPU or SmartSSD) with ease of scale. Samsung’s HPOS solution provides reference solution for Video AI applications requiring in-storage video pre-processing. And for Data Analytics use case providing high performance for unstructured/object data in data lake.

    Video

  • 2023 : DSS Gen2, High Bandwidth AI Training Storage Platform

    Posted whitepaper in 2023 MemCon

    Increasingly, as AI technology evolves into more sophisticated applications, training dataset sizes continue to grow exponentially. In order to scale storage and network infrastructure commensurately to deliver the data required and avoid unbearable training cycle times, there is a need for a new storage concept and innovative solution to address this technology gap. DSS Gen2 and beyond provides a potential next generation architecture and solution to alleviate this bottleneck.
    Another issue that is major impediment to data center scaling is power utilization. And since one of the key storage consumer is data storage, DSS technology not only plan to optimize server power utilization but also partner and leverage Samsung’s new high capacity SSDs which has one of the highest density in the world.

    Full Whitepaper
    Github

  • 2022 OCP : DSS - The Open Source [P/T]erabyte Scale Storage Engine for High Bandwidth Applications

    2022 OCP Global Summit

    With the advent of new application workloads related to Big Data including AI/ML, IoT, Video, security and many other machine generated data, there is a strong incentive for companies as well as governments to mine this treasure trove of data to extract value. Innovative companies taking on these storage challenges have tried storing Big Data into data lakes and moving them into locally attached storage for analysis but due to the sheer size of the data set this turns out to be too time consuming. Traditional network data storage also have been explored but overcoming inherent scaling and performance bottlenecks are difficult. DSS provides an innovative solution to the problem by designing purpose built storage that only targets these specific workloads.

    Video
    Slide

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