Build Sovereign AI Without Any Trade-Offs

WEKA NeuralMesh powers national AI clouds, foundation model programs, and frontier research with one data platform.

Powering Sovereign AI Clouds Worldwide

USE CASES

One Platform for Every Sovereign AI Workload

National AI clouds, foundation model programs, and federated deployments all demand performance, isolation, and residency at once. WEKA® NeuralMesh™ supports each without a tradeoff.

Rows of server racks with green and blue lights in a data center.

National AI Cloud Infrastructure

Serve government, enterprise, and academic tenants from multi-tenant GPU clusters, each with its own cluster, keys, and namespace.

A diagram outlining a data platform architecture for large-scale model training, displayed on a screen in a data center.

Foundation and National LLMs

Train long runs with fast checkpointing and a high-performance S3 store built for token warehouses that scales without rework.

Sovereign AI Research and Frontier Models

Feed agentic and inference workloads legacy infrastructure can't sustain, and lift GPU utilization past 90% with converged.

Multi-Region and Federated Deployments

Federate data across data centers, government networks, and hybrid nodes inside a national boundary.

Proven Results for Sovereign AI Programs

Real national AI cloud deployments show what happens when isolation, performance, and residency stop competing with each other.

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GPU utilization with Converged
Converged lifts GPU utilization from 30% to over 90%, roughly 3x more from the same national GPU investment.
0GB/s
read throughput per GPU
YTL AI Cloud runs 1 GB/s of read throughput per GPU with sub-0.5ms latency on NeuralMesh, powering Malaysia’s sovereign AI cloud.
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less cabling for sustainable AI
Yotta Data Services needs 60% less cabling running NeuralMesh, cutting power draw and complexity in its sovereign AI cloud.
0M+
tokens processed daily
Neysa processes over 100 million tokens daily on NeuralMesh, keeping GPUs productive under real production load.

WHY WEKA

Get National-Scale AI Without the Tradeoffs

Hyperscaler storage breaks residency, and legacy NAS can’t feed GPU clusters at AI scale. NeuralMesh closes both gaps at once.

Digital Earth with glowing city lights and flowing purple data lines.

Keep Data In-Country
Deploy across on-premises, classified networks, and hybrid cloud, and encrypt data end-to-end with zero operator access.

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Keep Data In-Country
Deploy across on-premises, classified networks, and hybrid cloud, and encrypt data end-to-end with zero operator access.
Isolate Every Tenant
Give each tenant its own cluster, keys, and namespace on shared hardware, for true isolation with no noisy neighbors across 100+ tenants.
Sustain Performance Under Load
Deliver millions of IOPS at sub-millisecond latency across 100+ concurrent tenants, holding steady under GPU-driven parallel pressure.

Scale to Exabytes
Scale performance and capacity independently to exabytes, rebuild after failures in minutes, and grow more resilient as the system grows.
Shrink Footprint and Cost
Store more in less rack space with higher performance density per watt and per terabyte, to help meet national sustainability mandates.
Maximize GPU Utilization
Run NeuralMesh Converged directly on GPU servers to lift utilization from 30% to over 90%, roughly 3x more from the same investment.

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Ratanaphon WongnapachantCEO • Siam AI

“Our vision was to build Thailand’s first sovereign AI cloud and develop Thai-based large language models (LLMs) that truly understand our language, culture, and unique context.”

Read the Full Story

“Our vision was to build Thailand’s first sovereign AI cloud and develop Thai-based large language models (LLMs) that truly understand our language, culture, and unique context.”

Ratanaphon WongnapachantCEO • Siam AI

Read the Full Story