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WEKA
Public Cloud

High Performance, Built for How Cloud Works

AI storage that scales with demand, moves with your workloads, and fits the cloud environments you've already built.

Meet WEKA NeuralMeshContact Sales

PROVIDERS

Built for the Clouds You Use

CHALLENGES

Your Cloud Has More to Give

  • Diagram showing three inputs converging at a purple node, then distributing to a 3x3 grid of nine squares.

    Adding Compute Is Easy. Feeding It Isn't.

    Data bottlenecks limit usable compute. Add instances without adding storage performance, and more compute won't produce more work.

  • A segmented progress bar showing 25% completion with a purple indicator.

    You Pay for Time, Not Work

    Cloud infrastructure costs the same whether it's doing useful work or waiting on data.

  • Diagram showing three squares, a radiator-like component, a dashed line, and a purple dot.

    Your Data Decides Where Jobs Run

    Starting compute is fast. Moving datasets isn't. So jobs run where data sits, not always where the best compute is available.

BENEFITS

Get More From What You Already Run

Turn more of the compute, storage, and GPU capacity you already pay for into useful work.

  • Make Every Cloud Hour Count

    Keep accelerated compute productive so more of what you spend on cloud infrastructure goes toward useful results.

  • More Tokens. Same GPUs.

    Feed inference fleets with high-performance storage that keeps data bottlenecks from limiting users, throughput, and token generation.

  • Scale Compute. Scale Results.

    Scale storage performance with compute so adding cloud resources increases throughput instead of dividing existing performance.

  • Run Where the Compute Is

    Put workloads where the right compute is available across regions, clouds, or on premises. Remote data becomes usable as it moves.

Measured in Production Clouds

See what cloud compute can deliver when storage performance keeps pace.

  • 0x

    more concurrent users

    Benchmark using NeuralMesh on OCI GPU infrastructure against a DRAM-only baseline.

  • 0.0x

    More Input Tokens

    Measured with WEKA Augmented Memory Grid™ on AWS P6 instances with B200 GPUs and the same GPU footprint.

  • 0%

    GPU Utilization

    Achieved by Stability AI running large-scale AI model training on AWS.

FEATURES

Scale Storage With Demand

NeuralMesh adds and removes resources as demand changes, so storage performance and capacity scale with your cloud.

Cloud Autoscaling

Scale Cloud AI Workloads Without Data Bottlenecks

Eliminate pipeline latency, maximize GPU utilization, and move data fluidly across your cloud environment with NeuralMesh.

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Frequently Asked Questions

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