Broadberry GRAID NVMe Storage

GPU-Assisted RAID for High-Performance NVMe Storage

GRAID SupremeRAID uses GPU-assisted RAID processing to protect high-performance NVMe storage without placing a traditional RAID controller in the storage payload path.

Broadberry combines GRAID SupremeRAID with qualified NVMe servers, SSDs, processors and networking to design complete storage systems sized around your applications, capacity and performance requirements.

RAID computation is offloaded to the GPU while NVMe data remains on the host PCIe path.

GRAID separates RAID computation from the path used to move application data. NVMe drives remain connected to the host PCIe fabric while SupremeRAID handles RAID computation and presents protected virtual NVMe devices to the operating system.

SupremeRAID provides protected block storage. Filesystems, shared storage services and application-level availability are designed separately.

GRAID NVMe storage is suited to applications that need high-performance block storage with drive-level protection. Broadberry selects the RAID policy, SSDs and supporting infrastructure around the application's actual I/O and recovery requirements.

Workload Typical I/O Design Priority
Transactional Databases Small random reads, durable writes and logs Latency, write policy and recovery
AI & Analytics Parallel reads, ingest and temporary output Sustained bandwidth and CPU headroom
Virtualisation Mixed random I/O from concurrent VMs Queue depth, latency and failure behaviour
Media & Scientific Computing Large streams, scratch files and burst writes Sequential throughput and usable capacity

Fast Local Storage for Data-Intensive Processing

AI preprocessing, analytics and data-processing workloads can combine parallel reads, ingest and temporary writes. GRAID provides protected NVMe block storage while offloading RAID computation from the host CPU.

SupremeRAID does not create an AI cluster filesystem. Shared datasets and multi-node access require a separate supported storage architecture.

The right RAID level depends on usable capacity, write behaviour, failure tolerance and recovery requirements. Broadberry selects the RAID configuration around the requirements of the workload.

NVMe performance depends on the complete system. Broadberry evaluates drives, PCIe topology, CPU resources and networking together rather than sizing around component specifications alone.

Before recommending a GRAID configuration, Broadberry evaluates the workload, RAID requirements, data path and recovery targets that determine the complete storage design.

Workload Assessment

Model block sizes, read/write
patterns, queue depth and
concurrency.

Capacity Planning

Calculate usable capacity,
RAID overhead, spares,
temporary data & growth.

RAID Design

Select RAID level and drive-
group layout around protection
and recovery requirements.

Infrastructure Design

Size NVMe, CPU, memory,
PCIe and network
together.

Validation

Test representative
workloads, degraded operation
and rebuild behaviour.

Lifecycle Support

Plan firmware, driver and
software updates, expansion
and ongoing support.

Broadberry designs storage infrastructure around the requirements of the application.

Workload-Led Design

Start with the application's I/O, capacity and recovery requirements.

Qualified Hardware

Select supported servers, NVMe SSDs, GPU RAID hardware and networking.

Complete Data-Path Design

Engineer storage, PCIe, CPU and network resources together.

Validation & Support

Qualification, validation, expansion and ongoing operational support.


Call a Broadberry Storage & Server Specialist Now: 1 800 496 9918

What is GRAID NVMe RAID?

GRAID SupremeRAID is a software-defined NVMe RAID platform that uses a GPU to perform RAID computation while NVMe drives remain connected to the host PCIe fabric.

How does GPU-assisted NVMe RAID work?

SupremeRAID uses a dedicated GPU for RAID computation and control. Storage data does not need to pass through card-attached storage ports, allowing NVMe devices to use the host PCIe fabric.

What does the GPU do in a GRAID server?

The GPU handles RAID computation and control. It is not an application accelerator and does not add GPU compute capacity to AI applications.

Which RAID levels does GRAID support?

SupremeRAID Ultra supports RAID 0, 1, 5, 6 and 10. The appropriate configuration depends on usable capacity, write behaviour and recovery requirements.

Does GRAID provide a filesystem or NAS?

No. SupremeRAID provides protected block devices. Filesystems, databases, hypervisors and network storage services run above that block-storage layer.

Is GRAID suitable for AI workloads?

GRAID can provide high-performance protected NVMe storage for AI data preparation, analytics and other processing. It does not itself provide a shared AI cluster filesystem.

Does GRAID replace backup?

No. RAID protects against specified drive failures. Independent backup is still required for deletion, corruption, ransomware and other recovery scenarios.

How should a GRAID NVMe system be sized?

Start with usable capacity, daily writes, application block sizes, queue depth, concurrency, RAID requirements and recovery targets. Then size NVMe, PCIe, CPU and network resources around the complete application data path.

Tell us about your application, usable-capacity target, I/O requirements and preferred RAID policy. Broadberry can configure the server platform, SupremeRAID, NVMe SSDs and networking as one qualified storage system.

Discuss Your Storage Requirements


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Before leaving our build and configuration facility, all of our server and storage solutions undergo an extensive 48 hour testing procedure. This, along with the high quality industry leading components ensures all of our systems meet the strictest quality guidelines.


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