Broadberry PeakAIO Storage

High-Performance Shared NVMe Storage for AI and Data-Intensive Workloads

PEAK:AIO develops software-defined storage for high-performance and accelerated computing. Broadberry combines PeakAIO software with enterprise NVMe hardware to design shared storage platforms for AI, research, analytics, media processing and other data-intensive workloads.

Each system is sized around your applications, active dataset, concurrency, performance and capacity requirements.

PeakAIO can support a concentrated NVMe performance tier or a larger scale-out architecture. Broadberry matches the platform to your workload and performance requirements.

PeakAIO separates high-performance data storage from the services used to organise and access that data. The architecture can range from a single shared NVMe data server to a coordinated scale-out environment.

The result: Fast shared access to active datasets without maintaining separate working copies on every compute node.

Workload Typical I/O Design Priority
Scientific Research Shared inputs, intermediate files and results Mixed I/O and working capacity
Analytics Repeated scans and temporary outputs Sustained reads and write headroom
Media Processing Parallel asset reads and output streams Client concurrency and burst performance
AI & Machine Learning Training reads, model loading and checkpoints Throughput, latency and protected writes

Feed GPUs with the Data They Need

AI storage performance depends on more than GPU count or raw SSD speed. Dataset preparation, training reads, model loading and checkpoint writes can happen concurrently, creating very different demands on the storage platform.

What the Storage Platform Needs to Handle

GPU count alone does not determine storage requirements. Broadberry sizes PeakAIO around measured application demand and concurrency.

Storage performance depends on more than the drives. Broadberry evaluates the complete data path to identify potential bottlenecks and availability requirements.

Before recommending a PeakAIO architecture, Broadberry evaluates the workload, data path and recovery requirements that determine the complete storage design.

Workload Assessment

Model active datasets, file
sizes, read/write patterns and
concurrency.

Capacity Planning

Calculate usable capacity,
protection overhead,
temporary space & growth.

Platform Selection

Determine whether a Data
Server or Open pNFS
architecture is a better fit.

Infrastructure Design

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

Validation

Test representative
applications, concurrency
and recovery scenarios.

Lifecycle Support

Plan expansion, upgrades,
maintenance and ongoing
support.

Broadberry brings the storage software and underlying infrastructure together around the requirements of the application.

Workload-Led Design

Start with what the application actually needs to do.

Qualified Hardware

Select supported NVMe, server and network components.

Complete Design

Engineer storage, PCIe, CPU, memory and networking together.

Validation & Support

Qualification, validation, expansion and ongoing operational support.

What is PeakAIO storage?

PeakAIO is software-defined storage designed for high-performance shared data access. Its Data Server provides shared NVMe storage, while Open pNFS provides a scale-out architecture for larger environments.

Is PeakAIO only for AI?

No. Although PeakAIO has roots in accelerated computing, it can also be evaluated for data-intensive workloads such as scientific research, analytics and media processing. Application and client requirements should be validated for the proposed configuration.

What's the difference between a PeakAIO Data Server and Open pNFS?

A Data Server provides a concentrated shared NVMe storage service. Open pNFS is a scale-out architecture that coordinates a namespace and directs clients to multiple data servers. Adding independent Data Servers does not automatically create one shared namespace.

Does PeakAIO support high availability?

Availability depends on the selected architecture. Drive protection, redundant network paths and server failover address different failure scenarios, so the required topology and recovery behaviour should be defined and tested for each deployment.

Does PeakAIO support GPUDirect Storage?

PeakAIO can be used in qualified GDS configurations, but GDS requires compatible GPUs, NICs, drivers, storage and an application path that actually uses it. It should be validated with the intended AI workload.

Can PeakAIO replace backup storage?

The active PeakAIO Data Server should not be treated as an independent backup. PEAK:ARCHIVE is the relevant PeakAIO product to evaluate for retention, along with the organisation's backup and recovery requirements.

Can PeakAIO scale as requirements grow?

Yes, but adding Data Servers is different from deploying a coordinated Open pNFS environment. Scale-out requirements should account for metadata, file placement, networking, recovery and the supported software release.

How should PeakAIO storage be sized?

Start with active usable capacity, file sizes and counts, read/write behaviour, concurrent clients, temporary output, growth and recovery requirements. For AI, also consider training reads, checkpoint writes, metadata activity and concurrent GPU jobs.

Tell us about your applications, active dataset, concurrency and performance requirements. Broadberry can design the NVMe hardware, networking and PeakAIO architecture around the work your environment needs to support.


Call a Broadberry Storage & Server Specialist Now: +27 11 014 1924

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