SYSALIGN

Technology architecture that boasts the highest reliability

The integrated design of the hypervisor across cloud nodes completes a new technological contribution to the design and implementation of decomposed memory.
This technology starts with elastic block management of granular system resources.

Cloud infrastructure evolves into composable infrastructure.

The current situation in which the growing data-intensive workloads such as memory databases, data caching, bioinformatics, Artificial Intelligence, and Big Data cannot be continuously accommodated by sustained infrastructure investments alone. Our composable infrastructure is based on flexible and scalable software-defined servers that accommodate large amounts of data quickly, accurately, and in any environment at any given time. If you need large memory, SYSALIGN is the answer.

Our software-defined servers are flexible and agile.

Through the Intelligent fabric equipped with Artificial Intelligence it has the core technology to quickly operate the memory resources that each application needs from buses inside the high-speed network systems.

Initial Block

Blocking the memory resource area

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Merge Block

Resource expansion by synchronizing memory resource areas through network and system internal bus

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Split Block

Remotely allocate computational resources for data protection and system stability

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Disaggregated Cloud Memory with Elastic Block Management
  • Scale share-based resource expansion

    Regardless of the brand of each heterogeneous node system spec and component, our software based on a standard architecture is organized on a scale-share basis to provide full system operating performance.

  • Supports all enterprise general-purpose OS

    By having a hierarchical structure, it provides compatibility for endpoint operation with flexibility in management and updates tailored to the customer environment.

Bare Metal and System Alignment Solution Performance Comparison Ver 1.0

SYSALIGN’s technology is optimized for large-capacity,
high-speed memory processing.

The core of the in-memory architecture is fast computational environment via direct access to memory. Advanced with Artificial Intelligence technology, the Data Management Flow Engine (AIDMES) not only dynamically blocks and manages system resources for data operations, but also meets the unique requirements of each enterprise computational workload.

Advanced memory mapping and
data paging control mechanisms are
applied.

By applying major control flow technology in any environment—public, private, or hybrid cloud—it provides customer service safety, convenience, and memory utilization in case of an emergency.

Together with SYSALIGN

Find out how our technology will further enhance customer value.

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