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WEKA
AI Cloud

More AI From Every GPU. More Cloud to Sell.

Turn the data layer into an advantage that makes your infrastructure more productive and your AI cloud more valuable.

The AI clouds already running NeuralMesh

  • Nebius
  • Cirrascale
  • Yotta
  • IREN
  • Firmus
  • Core42
  • Tensorwave

CHALLENGES

Storage that looks "good enough" today could limit the AI cloud you build tomorrow.

  • Minimal greyscale stack of narrowing infrastructure layers with an ascending stepped line ending in a purple dot, supported by a foundational data-layer line.

    Your Competition Is Moving Up the Stack

    AI clouds differentiate on performance, experience, and services. Your data layer can enable what you build next, or constrain it.

  • Minimal greyscale infrastructure diagram with three different workload paths converging at a shared bottleneck, highlighted by a small purple dot and dashed circle.

    Real AI Clouds Run Everything at Once

    Training, inference, and agents place varied demands on infrastructure. When workloads collide, performance is unpredictable.

  • A network diagram with a purple node at the center, branching into grey nodes connected by solid and dotted lines, forming a complex graph on the right.

    AI Workloads Are Changing Underneath You

    Long context, agents, even new AI architectures constantly change how you access, move, and reuse data across the cloud.

BENEFITS

Turn the Data Layer Into an AI Cloud Advantage

Get more performance, efficiency, and flexibility from your infrastructure stack.

  • Expand Your AI Service Portfolio

    Offer high-performance data services, accelerate inference, and support new service tiers that add value beyond GPU access.

  • Deliver Performance When Workloads Collide

    Maintain consistent performance as different workloads and customers compete for the same infrastructure.

  • Get More AI From Scarce Infrastructure

    Keep GPUs productive and increase performance and storage density to get the most out of every rack, watt, and node.

  • Build on a Flexible Foundation

    Support physical and virtual isolation, multiple deployment models, and diverse workloads without locking your cloud into one architecture.

  • 0x

    More Tokens per GPU

    Benchmark using WEKA® NeuralMesh™ with WEKA Augmented Memory Grid™ on OCI GPU infrastructure against a DRAM-only baseline.

  • 0x

    More Concurrent Inference Users

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

  • 0%

    GPU Utilization

    Measured in Stability AI’s production training environment running large-scale generative AI workloads on NeuralMesh.

Siam AI
Siam AI
Ratanaphon WongnapachantCEO • Siam AI

FEATURES

The Data Foundation for a Winning AI Cloud

NeuralMesh gives you a data architecture designed to support what your AI cloud needs today and whatever you build next..

Build Physical or Virtual Isolation on One Platform

NeuralMesh lets you build shared services with logical tenant isolation or dedicate physical resources when customers require it. Each tenant can have independent controls for data, networking, identity, encryption, performance, and resource consumption, giving you the flexibility to support different customers and service tiers on one data platform.

Multitenancy

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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