EXAScaler Cloud logo

EXAScaler Cloud

High-performance, scalable storage solution for AI and HPC workloads in public cloud environments.

Solution by DDN
Visit website

Overview

EXAScaler Cloud offers a high-performance, scalable storage solution designed to optimize AI, HPC, and data-intensive workloads in public cloud environments. It features a parallel file system that enhances cloud scalability, providing exceptional throughput and ultra-low latency for large-scale operations such as AI training and simulations. This infrastructure is recognized by Google as their first-party Lustre file system and is available in AWS and Azure marketplaces, widely used by NVIDIA cloud providers.

Key features include:

  • Accelerated Workloads: Boosts performance by up to 10x by fully utilizing GPU and CPU resources through intelligent IO optimization.
  • Improved Economics: Enhances data processing capabilities, increasing application output per compute hour.
  • Flexible Migration: Supports seamless migration between cloud and on-premises environments without compromising performance or causing platform lock-in.
  • Quick Deployment: Available for deployment within five minutes across major cloud provider marketplaces.

EXAScaler Cloud is designed to maximize data processing capabilities for public clouds, combining the scale of Google Cloud Platform with DDN's performance to significantly reduce model training times. This solution is utilized by leading firms such as Jump Trading, which requires high IO efficiency for its decentralized strategies, benefiting from reduced processing latency and improved competitive edge.

By ensuring GPUs are fully utilized, EXAScaler Cloud prevents performance bottlenecks and maximizes ROI, offering TB/s throughput, ultra-fast checkpointing, and real-time AI access. This infrastructure is pivotal for driving faster AI breakthroughs and maintaining competitive advantage in data-intensive fields.

Meta

Category
Scientific Data Infrastructure
Field(s)
Scientific IT & Integration
Target user(s)
IT / Systems AdminComputational Scientist / Modeler
Tag(s)
AI