D-DAO

GPU CLOUD

The Compute Layerof Enterprise AI

High-performance AI compute infrastructure purpose-built for training, inference, and production AI.

D-DAO GPU Cloud connecting GPU clusters through a shared enterprise compute fabric

WHY AI COMPUTE

Purpose-Built
for AI Compute

Enterprise AI requires compute infrastructure purpose-built for high utilization, predictable performance, and production AI.

Compute Performance

Delivers sustained AI compute performance.

Performance Fabric

Connects distributed AI systems.

Production Reliability

Ensures continuous AI operations.

Elastic Scale

Scales from enterprise clusters to AI factories.

ARCHITECTURE OVERVIEW

How AI Compute
Is Built

Enterprise AI compute integrates networking, storage, runtime, and compute into one production-ready architecture.

REFERENCE PLATFORMS

Reference Compute Platforms

Reference compute platforms for enterprise AI deployments ranging from flexible clusters to rack-scale AI factories.

Flexible Cluster

B300 HGX

Flexible compute platform for enterprise AI training, inference, and dedicated GPU cloud deployments.

TrainingInferenceEnterpriseFlexible

Best For

Enterprise AI ClustersTraining and InferenceDedicated GPU CloudPrivate Deployments

Rack-scale AI Factory

GB300 NVL72

Rack-scale liquid-cooled platform for dedicated AI factory deployments and high-density enterprise infrastructure.

AI FactoryRack ScaleHigh DensityProduction

Best For

AI Factory DeploymentRack-Scale InfrastructureHigh-Density TrainingDedicated AI Environments

REFERENCE ARCHITECTURE

Enterprise AI Compute
Reference Architecture

A production-ready compute architecture integrating GPU compute, storage, networking, runtime, and enterprise AI workloads.

View Full Compute Architecture