SILICONDISK / AI & MACHINE LEARNING

Keep Critical Data Moving. Keep AI Compute Productive.

Fast processors cannot compensate for every data-access bottleneck. ATTO SiliconDisk provides a shared, memory-based block-storage tier for repeatedly accessed AI working data and I/O-intensive pipeline stages.

<650 ns
Latency
6.4M
Up to 4K IOPS
35 GB/s
Up to throughput
4 × 100GbE
Ethernet ports

Published appliance-level specifications; actual results depend on workload and configuration.

THE CHALLENGE & THE OPPORTUNITY
THE CHALLENGE

GPU power is only one part of AI performance.

AI systems repeatedly ingest, transform, and reuse information. When the active working set lives outside host memory and storage requests are latency-sensitive, I/O delays may keep expensive compute resources from reaching their potential.

THE SILICONDISK APPROACH

Accelerate the data that needs it most.

SiliconDisk complements capacity flash storage with a compact DRAM-based block-storage tier. Selected hot datasets, feature stores, and temporary processing results can be placed closer to high-speed compute through compatible NVMe-oF/RoCE v2 access.

WHY SILICONDISK

Where Faster Storage Can Make a Difference

Target the pipeline stages where faster storage access is meaningful.

01 / BENEFIT

Speed repeated data access

Support smaller, frequently reused training, inference, or analytics datasets that generate intensive storage I/O.

02 / BENEFIT

Accelerate data preparation

Provide responsive temporary block storage for transformation, preprocessing, and feature-generation stages.

03 / BENEFIT

Keep compute and storage flexible

Add a dedicated Ethernet-connected performance tier as AI infrastructure evolves.

04 / BENEFIT

Measure the storage contribution

Use Insight Analytics™ to understand whether I/O behavior contributes to pipeline delay.

REAL-WORLD APPLICATIONS

Use Cases Worth Evaluating

  • AI data preprocessing
  • Frequently reused active datasets
  • Intermediate-result staging
  • Feature preparation and analysis
  • Machine learning experimentation
  • Latency-sensitive model-serving support
Where the Fit Is Strongest Most relevant when storage I/O—not GPU memory bandwidth or compute—is a verified constraint. SiliconDisk is not a replacement for GPU HBM or a large-capacity training data lake.
THE ATTO ADVANTAGE

Performance Is More Than a Specification.

SiliconDisk combines memory-based storage with ATTO hardware acceleration, high-speed connectivity, and the engineering insight to evaluate real workloads.

xCORE™ acceleration

Hardware-based I/O processing designed to move data efficiently.

NVMe-oF / RoCE v2

High-speed shared block-storage access over compatible Ethernet networks.

Insight Analytics™

Detailed visibility into storage and network performance.

LET'S TALK ABOUT YOUR WORKLOAD

Is Your AI Pipeline Waiting on Storage?

Bring ATTO your working-set size and I/O pattern so we can evaluate where a memory-based tier may help.

Request a Demo