# NeuralMesh Unifies Sovereign AI Workloads with Multi-Tenant Storage

NeuralMesh unifies sovereign AI on multi-tenant storage, ending the sovereignty-versus-performance tradeoff so data stays within national borders at GPU scale.

**Type:** Solution Brief

## Challenges

- Hyperscaler storage routes data through non-sovereign control planes
- Multi-tenant performance degradation
- Overprovisioning inflates cost and power
- Weak checkpointing puts weeks of training at risk of hardware failure
- Legacy NAS starves GPU clusters

## Solution

[NeuralMesh™](https://www.weka.io/product/neuralmesh/) runs as a distributed, shared-nothing architecture with no centralized controllers. Every node serves data, metadata, and I/O in parallel across classified on-premises, cloud, and hybrid environments. [NeuralMesh Axon™](https://www.weka.io/product/neuralmesh-axon/) pools NVMe already inside GPU servers into a single storage cluster, activating existing capacity instead of purchasing a separate tier. [Augmented Memory Grid™](https://www.weka.io/product/augmented-memory-grid/#) extends the key-value cache beyond GPU memory, so tokens aren’t reloaded from storage.

## Benefits

- Federate data across classified and authorized cloud networks
- Encrypt data end-to-end with zero operator access
- Meet data sovereignty mandates
- Drive GPU utilization past 90%
- Host data ingestion, training, and inference in a single platform

## Introduction

Put an end to the sovereign AI storage vs. performance tradeoff. National governments, government-backed cloud operators, and NVIDIA Cloud Partners are racing to build homegrown AI capability without surrendering control of their data. That control has to hold across classified networks, under end-to-end encryption, and under direct operational oversight, while still hitting GPU-scale performance. Most AI infrastructure asks programs to choose one or the other. NeuralMesh answers with one platform. Everything is encrypted, access-controlled, and deployable on-premises, in classified networks, and across hybrid and multicloud environments. Neuralmesh supports multiple namespaces in a single physical cluster, spanning ingestion through inference, unifying AI programs and multi-tenant clouds under a single storage infrastructure.

```json
{
  "_key": "rp00035",
  "_type": "customerQuoteBlock",
  "markDefs": null,
  "quote": {
    "anonymizedAttribution": null,
    "anonymous": false,
    "authorName": "Philip Lin",
    "companyLogo": {
      "_type": "image",
      "asset": {
        "_id": "image-a7c5a0981983b6c7d770102e49f937ed01674ee3-300x86-svg",
        "metadata": {
          "dimensions": {
            "_type": "sanity.imageDimensions",
            "aspectRatio": 3.488372093023256,
            "height": 86,
            "width": 300
          },
          "lqip": "data:image/png;base64,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"
        },
        "url": "https://cdn.sanity.io/images/ult5g8gw/production/a7c5a0981983b6c7d770102e49f937ed01674ee3-300x86.svg"
      },
      "crop": null,
      "hotspot": null
    },
    "companyLogoMono": {
      "_type": "image",
      "asset": {
        "_id": "image-635aa91781ed890d04559a5add070ec469f7cb98-300x86-svg",
        "metadata": {
          "dimensions": {
            "_type": "sanity.imageDimensions",
            "aspectRatio": 3.488372093023256,
            "height": 86,
            "width": 300
          },
          "lqip": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAGCAYAAADDl76dAAAACXBIWXMAAAsTAAALEwEAmpwYAAAA0ElEQVR4nJXQTSvEYRQF8N/G0jCG2GDFRCQmQ4Mw8t4MEj4Do3wCZclGaVBK2cwHne6/u7Cw8dTtnu5zOueey//eEGo4xBmu0MYJrnEbpAmMo4JBjGAU5cTlnJcwheWsFTSyL2IjDQq3JjaxhF0cJ2ELO/kXeD+52zjCJVrY+7VlQVzDOlZxihscZF0kMdzPU+Aer3jHF57xhLsQHM440SPiJBYwj2rGq2e0uF9s/IBvfKKXooEf/zr8AMYwnTebxRxm0iASdfCGF3ygi58Q7gPBbRyQkFt3pgAAAABJRU5ErkJggg=="
        },
        "url": "https://cdn.sanity.io/images/ult5g8gw/production/635aa91781ed890d04559a5add070ec469f7cb98-300x86.svg"
      },
      "crop": null,
      "hotspot": null
    },
    "companyName": "YTL AI Cloud",
    "jobTitle": "CEO",
    "text": "NeuralMesh enabled us to deploy composable storage leveraging an operator-driven architecture that delivers secure multi-tenancy across our AI cloud infrastructure."
  }
}
```

[Download PDF](/api/resource-pdf?slug=sovereign-ai)