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Enterprise Layer Intelligence
Categories/Data Platform & Integration/WEKA
WEKA

WEKA

Founded by Liran Zvibel in 2013

Store and deliver data rapidly to GPUs for high-performance machine learning workloads

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use WEKA to deliver high-throughput, low-latency data directly to GPUs and compute clusters for training and inference workloads. It combines file storage and memory into a single architecture, ensuring data pipelines never stall while keeping hardware fully saturated. You can manage massive datasets across on-premises clusters and cloud environments without duplicating files or slowing down compute jobs. This setup reduces token processing costs, improves power efficiency, and accelerates demanding tasks in generative AI, deep learning, and high-performance computing clusters.

What WEKA does

Mount high-throughput file systems to AI compute nodesStream massive datasets to GPUs at low latencyConfigure storage tiers across flash and cloud object storageBenchmark token throughput across machine learning clustersMonitor data pipeline read and write performanceDeploy software-defined storage across cloud instancesUnified file and object storage architectureDirect data delivery to GPU memory at ultra-low latencyMulti-cloud and on-premises deployment supportPersistent memory caching for fast inference throughputScalable distributed file system for large datasetsHardware-agnostic software deploymentHigh-density appliances for AI clusters

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Microsoft AzureMicrosoft AzureGoogle CloudGoogle CloudKubernetesKubernetes

Used by

Dark Lord

Dark Lord

@ None

In their stack

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WEKA, NeuralMesh, AI storage, GPU storage, high performance computing, HPC storage, data pipeline, fast file system, AI inference, deep learning storage, distributed storage, cloud storage, WEKApod, data management, enterprise storage