ÎçҹѰ»¨

Cutting-edge performance for bleeding-edge workflows

ÎçҹѰ»¨â€™s high-performance file storage delivers the elasticity and power to support your most demanding cloud-based workflows, anywhere and everywhere

Disruptive technology at a disruptive price

In less than 15 minutes, ÎçҹѰ»¨â€™s platform-agnostic, disaggregated architecture can give you the scale and performance flexibility that your most demanding workflows need, at a lower price point than any other cloud file service.
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Flexible storage

  • Deploy ÎçҹѰ»¨ on-premises using your preferred hardware.
  • Use Cloud Native ÎçҹѰ»¨ on AWS or Azure for your biggest workloads.
  • Exabyte-plus scalability in any local or cloud-based storage instance.
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Elastic performance

  • Burstable performance for peak processing demands.
  • Elastically scale throughput to 100GBps+ on any cloud instance.
  • Elastically scale to 1M+ IOPS per instance in the cloud.
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Unified data

  • ÎçҹѰ»¨ Cloud Data Fabric presents a unified data plane across all ÎçҹѰ»¨ instances in all locations.
  • Unique caching architecture enables low-latency access to remote data.
  • NeuralCache prefetches data to the appropriate location before it’s needed.

The fastest file service in any cloud at a fraction of the cost

Cutting-edge performance for bleeding-edge workflows

ÎçҹѰ»¨â€™s high-performance file storage delivers the elasticity and power to support your most demanding cloud-based workflows, anywhere and everywhere

Full integration with cloud AI

Azure Native ÎçҹѰ»¨ and Microsoft Copilot

Did you know that Microsoft Copilot can connect directly to Azure Native ÎçҹѰ»¨ to read and analyze your Office files, PDF files, text files, and more? With ÎçҹѰ»¨â€™s custom connectors, you can use Copilot to gain new intelligence and insight into virtually any type of unstructured data in your Azure Native ÎçҹѰ»¨ environment.

“Our UC San Diego customers require… up to 200 Gbps of provisioned performance. The Data Science Machine Learning Platform runs on ÎçҹѰ»¨, where thousands of students execute performance-sensitive AI workloads concurrently. These students require optimal configurations to ensure efficiency when running GPUs over thousands of NFS connections.â€

Brian Balderston
Director of Infrastructure, San Diego Supercomputer Center

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High-performance data access for your most demanding workflows

Whether in your data center, on AWS, or on Azure, ÎçҹѰ»¨ delivers the exabyte-scale capacity and dynamically scalable performance to power your high-performance compute applications in the data center and in the cloud

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Genomics analysis

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Financial risk modeling

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AI training / retraining

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Seismic imaging

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Machine learning

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Virtual desktop profile storage

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