The Data Platform for AI

WEKA delivers a data platform for today's enterprise AI workloads and high-performance applications

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Scaling your GPU Deployment

Assessing, piloting, and deploying GPUs

A Buyer's Guide to Modern Storage

WEKA State of AI Report

HPC Storage TCO – Critical Factors Beyond $/GB

If you’re not utilizing S3 well in the cloud, then you’re missing a trick. Weka’s ability to provide seamless fully automated tiering into S3 was another one of the big selling points for us.

Alan McSeveney,
Head of Technology, Preymaker

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The types of performance we were getting earlier for 1 GB files it would take about 319 ms to write a particular 1 GB file. With Weka we saw the time drop by a factor by 40x. It was just an amazing increase in performance.

Jon Sorensen,
VP, Technology, Atomwise

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With WEKA we have so much performance and expandable capacity that we don’t have to think about it.

Stuart Glenn,
Assistant Director of Infrastructure and Research Computing, OMRF

What WEKA Can Do For You

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

Keep Your Data Pipeline Flowing

Reduce your time to market and accelerate innovation by up to 10x.

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Works with Whatever

Run on your choice of hardware, access your files from anywhere.

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Key Use Cases

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.

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.

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.

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.

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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2021 Magic Quadrant™ for Distributed File Systems and Object Storage

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

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