AI Storage Servers

AI workloads demand more from storage than ever before. Training and inference pipelines rely on extremely high throughput, ultra low latency, and the ability to feed data to thousands of GPU cores simultaneously. Traditional storage simply cant keep up - leading to idle GPUs, bottlenecks, and unpredictable performance.

Broadberry's AI optimised storage solutions are engineered to eliminate these constraints, ensuring your clusters stay fully utilised and your AI projects scale smoothly from development to production.

Modern AI training requires:

Massive parallel data access
High bandwidth pipelines for large datasets
Low latency I/O for distributed training
Fast checkpointing and recovery
Predictable performance at scale

Broadberrys AI storage platforms are built specifically for these demands. They allow multiple nodes to read and write concurrently from shared datasets, scaling linearly as you add more compute or capacity. The result is faster time to train, smoother pipelines, and consistently high GPU utilisation.

Broadberry offers three industry leading storage technologies, each validated for high performance AI environments and certified for NVIDIA SuperPOD architectures.

WekaIO delivers a next generation, low latency file system purpose built for AI and accelerated computing. As an NVIDIA SuperPOD certified solution, it integrates seamlessly into validated AI reference architectures.

Key Benefits:

Extremely high throughput and ultra low latency
Fast dataset ingest and rapid checkpointing
Highly concurrent shared reads and writes
Predictable performance as clusters scale
Improved GPU utilisation and shorter training cycles

WekaIO is ideal for organisations running large scale training pipelines, multi node workloads, and high density GPU clusters.

DDN is a global leader in high performance storage, engineered for the most demanding AI and HPC environments. Certified for NVIDIA SuperPOD, DDN provides a proven foundation for enterprise grade GPU deployments.

Key Benefits:

Sustained parallel throughput with consistent latency
Accelerated data ingest and shared dataset access
High frequency checkpointing without bottlenecks
Reduced pipeline stalls and faster job completion
Repeatable, validated performance at scale

DAOS (Distributed Asynchronous Object Storage) is a cutting edge, scale out architecture designed for workloads that demand extreme bandwidth and minimal overhead. Built on NVMe and a distributed object model, DAOS excels in environments with high concurrency and large scale parallel I/O.

Ideal For

Fast scratch and staging storage
Distributed training at massive scale
Data intensive pipelines with high parallelism
HPC/AI environments requiring maximum throughput

DAOS is the perfect choice for customers seeking uncompromising performance and scalability.

For over 37 years, Broadberry has delivered high performance infrastructure to the worlds most demanding organisations - from leading universities to global enterprises, government agencies, and research institutions.

What sets us apart

Deep expertise in AI, HPC, and GPU accelerated systems
Custom engineered solutions tailored to your workloads
Global support and long term component availability
Proven reliability across mission critical environments

Whether you're building your first AI cluster or scaling to a full AI factory, Broadberry provides the storage foundation you need to keep your GPUs running at peak performance.