Volumez

Volumez DIaaS

Volumez Data Infrastructure as a Service (DIaaS) is a platform delivering tailor-made data infrastructures that adapt to a variety of workloads while optimizing cost and performance. DIaaS dynamically builds optimized, balanced systems in any cloud by intelligently orchestrating compute, network, and storage resources from the cloud provider’s inventory. The result is a composable and predictable DIaaS that delivers real value to organizations through guaranteed extreme performance, ultra-low latency, unprecedented throughput, and maximized GPU utilization at transformative economics for AI/ML, databases, and other data-intensive workloads.

Volumez named the Undisputed
Leader in the MLCommons® MLPerf®
Storage 1.0 AI/ML Training Benchmark

Results verified by MLCommons Association.1

1.1TB/sec

Throughput

92.2%

GPU Utilization

9.9M

IOPS

Unleash the Power of
Composable Data Infrastructure

With Volumez, transform the way you create, innovate and thrive in a rapidly evolving digital world. Unleash a realm of opportunities as you build next-generation cloud-native products using the most high-performing, predictable, and simple-to-manage data infrastructure layer available.

Dynamic Control

Increase development velocity with precise control of application I/O defined at runtime

Enterprise-Grade Data Services

Snapshots, thin provisioning, multi-zone resilience, and more at your fingertips

Exceptional Performance

Millions of IOPS and microsecond latency with a few lines of YAML

Universal Data Plane

Common Linux data plane across every cloud and data center. Eliminate vendor lock-in and gain multi-cloud resilience

Goodbye Noisy Neighbors

Guaranteed, consistent performance in any cloud

Ruthless Infrastructure Efficiency

Improve cloud ROI with extreme performance from the least amount of resources

Performance for Individual or Consolidated Data-intensive Workloads

0 M
IOPS
0 μs
Latency
0 GB/s
Bandwidth
Per volume, guaranteed
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1 Results verified by MLCommons Association. Retrieved from https://mlcommons.org/benchmarks/storage/. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use is strictly prohibited. See www.mlcommons.org for more information.