NO LIMIT, NO COMPROMISE DATA ACCESS

WekaIO Solves the I/O Starvation Problem

You invested in the best infrastructure to run your AI and data intensive applications, so don't let data accessibility be the bottleneck to your productivity gains. To maximize your investments and resolve the GPU and CPU starvation problem, you need a shared file system that ensures data is available to the applications. WekaIO delivers all the bandwidth you need, so your applications never have to wait for data.

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GET FASTER INSIGHTS

Flash-native file system shortens AI and training cycles; you can complete more analytics, with bigger data sets, in less time

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REDUCE YOUR CAPEX & OPEX

You don't have to purchase more infrastructure to cover peak workloads, leverage our cloud-bursting to elastically grow your GPU or CPU resources in the cloud

ANALYZE MORE

Don't throw away valuable data, put it to work. A single infrastructure can economically store Exabytes of data in a single namespace, accessible by all your applications.

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ACHIEVE IT AGILITY

Scale performance and capacity independently to meet changing application demands on the fly. Run on-premises, in the cloud or hybrid.

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MINIMIZE ADMIN OVERHEAD

Simple, intuitive cloud management interface—one admin can manage Exabytes of data

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BUILD IT ONCE, AND DONE

Say goodbye to islands of storage and forklift upgrades —one storage solution manages the entire product lifecycle from data ingest to archive

Your Data Management Before and After WekaIO

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WekaIO Delivers Record-Breaking Performance Results

WekaIO’s claim to be the world’s fastest parallel file system are substantiated by independent SPEC SFS 2014 test results. Using off the shelf industry-standard components, WekaIO’s software achieved 1200 simultaneous software builds and 600K IOPS at 1 millisecond overall response time, outperforming a combination of IBM Spectrum Scale™ 5.0 with NVMe-over-fabrics appliance by 2X.

View the report on SPEC.org

Proven in the World's Most Challenging Environments

Recognized by the Best Awards Programs

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CIO Review Backup Vendor award 2017
CRN Tech Innovator Award 2017
TechTarget Product of the Year winner
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Making Machine Learning Compute Bound Again

Liran Zvibel presents at HPC Advisory Council @ Stanford
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