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SteelDome Supermicro® Hyper-converged Data Platform

HyperSERV™

Innovative hardware and software combined—the ultimate data platform.

Solution Overview

HyperSERV is a future-ready data platform built to support modern workloads across all industries. It combines advanced block, file, and object storage, native VM and container support, and the power of Supermicro hardware. This flexible, scalable infrastructure easily adapts to any deployment model, whether tiered, hyperconverged, or hybrid.

Its versatility enables organizations to optimize resources, enhance operational efficiency, and scale effortlessly as demands grow. Built for high-performance computing, HyperSERV easily handles enterprise workloads and supports the most demanding applications, including AI/ML, analytics, virtualization, and large-scale data processing.

More than just a platform, HyperSERV is a foundation for growth, empowering businesses to future-proof their infrastructure, accelerate innovation, and maintain a competitive edge in an increasingly complex digital landscape.

HyperSERV™ Advantages

  • Scale-Out Architecture
  • High-Speed Data Access
  • Multi-Protocol
  • Data Separation
  • Data Protection
  • Self-Healing

Distributed Scale-Out Architecture

HyperSERV’s distributed architecture eliminates single points of failure, ensuring continuous availability and fault tolerance. It allows seamless scalability from a few nodes to hundreds, supporting both vertical scaling (adding resources to existing nodes) and horizontal scaling (adding more nodes). This flexibility lets organizations efficiently handle growing workloads and data volumes while maintaining performance and reliability.

Next Gen I/O Acceleration and Concurrency Handling

Performance is optimized through SteelDome’s SDCache technology by transforming any disk into an ultra-high-performance device, reducing latency and maximizing throughput. HyperSERV’s parallel architecture enables concurrent access to all storage resources, making it especially effective for large-scale virtualization, data analytics and machine learning environments, where simultaneous access to large datasets is essential for efficient processing.

Multi-Protocol and High-Speed Networking Support

HyperSERV supports a wide range of data access protocols, including iSCSI, NVMeoF, SMB, NFS, and S3, while integrating with high-speed networking technologies such as RoCE, InfiniBand, and the latest NVIDIA BlueField DPUs. This ensures smooth data flow, minimizes bottlenecks, and is ideal for AI and GPU-intensive workloads that demand high throughput and low latency.

Separation of Metadata and Data

HyperSERV separates data and metadata, offloading high-intensity metadata tasks from data I/O operations. This ensures metadata management doesn't impact overall performance, enabling high IOPS and low latency. As a result, HyperSERV excels with large-scale, intensive workloads, where real-time data access, rapid processing, and peak performance are essential.

Advanced Data Protection

HyperSERV offers robust data protection through customizable combinations of erasure coding and replication, allowing operators to specify the protection level based on workload characteristics and requirements across any fault domain. Coupled with real-time integrity, this ensures complete data survivability, even in the event of simultaneous component failures or undetected hardware errors.

Self-Healing and Automated Recovery

HyperSERV’s self-healing architecture automatically detects, isolates, and repairs faults in real-time, ensuring continuous data availability and system resilience. This automated recovery process is crucial for maintaining uninterrupted operations without manual intervention, especially in AI, high-performance computing, and other data-intensive environments where downtime can severely impact productivity and outcomes.

Meeting Industry Needs

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Explosive Data Growth

The surge in data from IoT devices, AI/ML applications, and real-time analytics demands storage solutions that scale seamlessly without sacrificing performance or driving up costs. HyperSERV meets these needs with a scalable storage platform designed for rapid growth and massive datasets.

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Demand for Real-Time Data Processing

SteelDome's InfiniVault offers robust data resilience, providing secure protection against cyber attacks, including ransomware. Easily deployed on any infrastructure, it ensures data integrity and security, adapting to the evolving threat landscape.

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Hybrid & Multi-Cloud Adoption

Organizations increasingly adopt hybrid and multi-cloud strategies to enhance flexibility and reduce costs. HyperSERV’s seamless integration across on-premises, private, and public cloud environments supports data mobility, security, and compliance, making it an essential solution for multi-cloud deployments.

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Infrastructure Modernization

Staying competitive means continuously modernizing IT infrastructure to integrate legacy systems with new technologies without disrupting operations. HyperSERV offers the adaptability needed for modern AI-ready infrastructures, optimizing storage, network, and compute resources to support the complex demands of AI workloads, now and in the future.

Hyper-converged

Use Cases

Single Node

Ideal for organizations which require resilient high-density block, file, or object storage without the need for node-level high availability. This model is perfect for development environments, remote office-branch office, or edge computing, offering rapid deployment and straightforward management. It provides robust storage capabilities with minimal infrastructure, making it a cost-effective solution for organizations starting a new project.

Multi-node Clusters

Best suited for medium-sized businesses or departmental data centers requiring high performance and high availability. This model distributes data across multiple nodes, providing load balancing and failover capabilities. It supports diverse workloads, including virtualized environments, large-scale file sharing, and data-intensive applications. As your organization grows, this cluster can be expanded seamlessly to meet increasing demands, ensuring reliable, uninterrupted access to critical data.

Large Multi-node Clusters

Built for large-scale enterprise operations that demand ultra-high performance and scalability. This configuration is perfect for cloud service providers, research institutions, and data-intensive industries such as media, finance, and healthcare. It delivers a flexible infrastructure capable of managing complex workloads across a vast network of storage and compute nodes while ensuring continuous availability. With its ability to scale effortlessly, it supports rapid linear growth without compromising performance or reliability.

Regional Federated Super Clusters

Perfect for large enterprises seeking to unify their IT infrastructure while integrating legacy systems with cutting-edge technology. A federated HyperSERV supercluster bridges multiple clusters across data centers, regions, or continents into a single, manageable storage ecosystem. It optimizes storage, networking, and compute resources to support complex AI and machine learning workloads. This model enables seamless data replication, cross-site redundancy, and resource sharing, future-proofing your infrastructure for global-scale operations and evolving technological demands.

Flexible Architecture Options

Tailored Infrastructure for Performance, Scalability, and Simplicity

 

  • Tiered
  • Hyper-converged
  • Hybrid

Tiered

In a tiered architecture, compute (servers, processors, etc.) and storage (hard drives, SSDs, etc.) are typically managed as separate layers or components. These tiers can be optimized independently, allowing specialized hardware to handle specific tasks (e.g., compute-intensive servers, high-speed storage arrays).

Compute and storage can be scaled separately. If more compute power is needed, additional servers are added without necessarily increasing storage, and vice versa. This flexibility allows organizations to tailor their infrastructure based on current needs and workloads.

Hyper-converged

In HCI, compute and storage resources are combined into a single, software-defined system. All resources (compute, storage, networking) are managed through a unified platform, often using commodity hardware. This eliminates the need for separate storage devices or network storage (SAN/NAS).

HCI typically allows for linear scaling by adding additional nodes, which increase both compute and storage resources simultaneously. This makes scaling compute and storage much simpler and maintains a uniform data platform.

Hybrid

In a hybrid architecture, compute and storage can function as separate tiers or a unified system, blending the flexibility of tiered systems with the simplicity of hyperconverged infrastructure (HCI). Compute and storage can be optimized independently for demanding tasks or managed together through a unified platform for seamless integration.

This model allows independent or simultaneous scaling, adapting to workload needs while balancing performance and simplicity. By combining the strengths of tiered and HCI approaches, hybrid architectures offer flexible, efficient solutions for diverse workloads.

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