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The digital revolution has generated an abundance of diverse data.

By processing complex information with big data analytics, organizations and enterprises can obtain valuable insights to drive growth. Standing at the forefront of memory solutions, Samsung is advancing the adoption of big data in diverse fields. From high performance computing to innovative cloud computing and data center systems, its comprehensive portfolio empowers organizations to leverage cutting-edge analytics to reach their goals.

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Official Event
Improving our everyday lives
Applications

Next-generation servers

To process vast amounts of data, organizations need servers that deliver ultra-fast speed and superior performance. In an era where analytics are advancing at a rapid pace, traditional servers with fixed hardware configurations may be unsustainable. For businesses to truly maximize the potential of big data, adopting flexible server solutions is a must.

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Samsung Data Center SSDs
In Comparison to Client SSDs

Superior computing performance

As the next generation of technologies such as IoT and AI continue to advance, the data enterprises have to process will grow in size and complexity. By networking compute servers together in clusters, a high-performance computing architecture (HPC) delivers the required speed, stability, and performance to process massive amounts of data. Servers in the network run programs and algorithms, while a storage unit feeds the data and captures the output. In an HPC architecture, all components must be able to support high-speed data transfer to maximize performance.

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HBM Flashbolt (HBM2E)
Reaching new heights in supercomputing

Cloud
computing

By reducing the need for in-house hardware investments, cloud computing enables organizations to flexibly adopt and deploy big data analytics. The scalability of cloud computing coupled with virtualization allows enterprises to adjust their IT strategy as priorities shift, while the centralization of data storage enables more efficient internal flow of information and insights.

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PM9A3
Gen4 Drives Dynamic Data Traffic
Use Cases

Data-driven growth

Understanding customer behaviors and monitoring internal operations are key priorities for many businesses. The emergence of big data enables companies to track their progress with precision. Whether it’s boosting sales or improving efficiency, in-depth analytics can help enterprises develop strategies to gain a competitive edge. Leveraging Big Data for business growth calls for comprehensive investments in diverse areas. In addition to reorganizing the IT infrastructure, new skills will also be required to support and operate the technology.

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Optimizing
knowledge transfer

Businesses need to create and disseminate new knowledge within the organization to boost competitiveness and the efficiency of the knowledge transfer process can determine the success or failure of projects and strategies.
In addition to discovering new trends, big data systems can enhance the distribution of new insights. With more control over the knowledge transfer process, enterprises can ensure key stakeholders are fully informed when making decisions.

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Maximizing
the world of data

A large proportion of the data in the world are either unstructured or semi-structured. To generate maximum value from big data, unstructured content needs to be combined with structured information for analysis.
For many enterprises, this means integrating advanced analytics with existing intelligence capabilities, storage systems, and data structure.
From customer analytics to risk management, expanding the variety of data points will take the guesswork out of strategizing, optimizing overall operations.

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Developing
a tailored cloud strategy

Building a tailored cloud strategy to fit organizational needs and goals can transform the efficacy of big data integration. As advanced analytics require a wide range of resources to operate, the cloud infrastructure needs to be engineered to optimize data flow. In addition, scalability of the cloud architecture should also be taken into consideration to ensure long-term sustainability.

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Featured Products

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    PM1653

    A landmark release for Enterprise SSDs

    the first Samsung SSD to support the latest 24G SAS interface

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    PM9A3

    Gen.4 drives
    dynamic data traffics

    Top solution for diverse applications

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    PM883

    Best solution for heavy demands

    Reliable, high storage capacity

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    PM1725b

    High speed with low latency

    Achieve superb performance without bottlenecks

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    PM1643

    Ultra-high capacity SAS SSD

    Powerful solution for mission-critical enterprise applications

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    Z-SSD

    Redefining
    fast responsiveness

    Ultra-low latency to improve response time

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    HBM2E Flashbolt

    Boost the power of AI

    Driving force for high performance computing

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    RDIMM

    Registered DIMM

    Include a register for enhancing clock, command and control signals

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    LRDIMM

    Load Reduced DIMM

    Best solution for achieving high density with high speed

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    UDIMM

    Unbuffered DIMM

    Smaller latency value

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    SODIMM

    Smaller than normal DIMMs

    For systems with limited space issues

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    ECC UDIMM

    Error Correction Code UDIMM

    Single error correction and detection available

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    ECC SODIMM

    Error Correction Code SODIMM

    Single error correction and detection available

* All product specifications reflect internal test results and are subject to variations by user’s system configuration.
* All product images shown are for illustration purposes only and may not be an exact representation of the product.
* Samsung reserves the right to change product images and specifications at any time without notice.