The Data Platform for AI

No more compromises between Simplicity, Speed, and Scale on-premises or in the cloud.

Weka’s data platform was built on WekaFS™ to address the storage challenges posed by modern applications that leverage Cloud, GPU compute through innovations in how Flash is used. Weka data platform offers the simplicity of NAS, the performance of SAN or DAS and the scale of object storage.

Simplicity

Speed

Scale

Keep Your Data Pipeline Flowing

Don't Let Your Infrastructure Keep You Waiting for Insights

GPU’s can spend half their time waiting for data, that means you end up waiting for results. Weka’s data platform addresses the storage challenges posed by today’s enterprise AI workloads and other high performance applications running on-premises, in the cloud or bursting between platforms. With Weka, you accelerate every stage of the data pipeline from data ingestion to cleansing to modeled results, improving training times and reducing time to market.

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KEY USE CASES

  • ARTIFICIAL INTELLIGENCE
  • Life Sciences
  • FINANCIAL SERVICES
  • HIGH PERFORMANCE DATA ANALYTICS
  • Containers
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ARTIFICIAL INTELLIGENCE

Artificial Intelligence is creating new business opportunities. Operationalizing AI requires the ability to process massive amounts of data from different sources in short time. Weka offers a complete solution engineered to accelerated DataOps challenges across the entire data pipeline whether running across on-prem and the public cloud.

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Life Sciences

Storing and analyzing large data sets in life sciences whether it is next-generation sequencing, imaging, or microscopy requires a modern approach for faster insights and better economics. Weka accelerates time to insights by eliminating the performance bottlenecks across the Life Sciences data pipeline, while significantly reducing the cost and complexity of managing data at scale.

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FINANCIAL SERVICES

Financial Services organizations rely on quantitative modelling to help mitigate risk, detect fraud and develop new trading algorithms. Weka offers a modern data platform that can handle the most demanding I/O intensive workloads and latency-sensitive applications at exabyte scale. Used by leading quantitative trading companies, Weka helps them gain a competitive advantage and improve trading outcomes.

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HIGH PERFORMANCE DATA ANALYTICS

Whether it is anomaly detection, affinity marketing, Internet Of Things (IOT) using sensor data or business intelligence, companies are combining AI, data analytics and HPC technologies to gain competitive advantage. Weka offers a modern storage architecture that can handle the most demanding I/O intensive workloads and latency-sensitive applications at Exabyte scale to help companies improve business outcomes wherever their data resides – on-premises or in the cloud or across both.

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Containers

Containers

Containers are a popular deployment model, with orchestration provided by Kubernetes, deemed as the de facto cloud-native operating system.

While Kubernetes enables a common compute platform across any infrastructure and a consistent set of infrastructure capabilities, it can create overhead and risk. 80% of enterprises list persistent storage, data management, and disaster recovery as top barriers limiting container adoption.

WekaIO™ Kubernetes solution helps customers overcome the challenges of Kubernetes and deliver value from the data center to the cloud to the edge (aggregation), with at-scale performance.

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ACCELERATING MODERN WORKLOADS

genomics
Tusimple
23andme
preymaker
OMRF
untold
Baylor

VISIONARY. WE ARE THE FUTURE

Weka Named a Visionary in Magic Quadrant™ for Distributed File Systems and Object Storage

Popular Resources

A Buyer's Guide to Modern Storage

Comparison of NetApp, Isilon, Vast Data, DDN Lustre, and WekaIO

WekaIO Architecture Paper

Details on theory of operation, features, and and independent performance validation

HPC Storage TCO - Factors Beyond $/GB

Explore the various elements of the storage TCO equation

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