GPU CLOUD
Enterprise AI Compute Infrastructure
Dedicated NVIDIA GPU infrastructure for production AI training, inference, and AI factory deployments.
CAPABILITIES
Why Enterprise GPU Cloud
Purpose-built infrastructure for organizations deploying training and inference at production scale.
Designed by engineers building AI factories—not just GPU instances.
01
High-Density AI Compute
Dedicated NVIDIA GPU capacity for training, fine-tuning, inference, and AI factory workloads.
TrainingInferenceAI Infrastructure
02
Faster Deployment
Standardized cluster architectures reduce the time from infrastructure planning to production rollout.
Standardized BuildProduction RolloutRepeatable Delivery
03
Enterprise-Grade Reliability
Operational patterns built for uptime, isolation, and mission-critical AI environments.
IsolationAvailabilityOperations
04
Optimized GPU Utilization
Scheduling, placement, and operations keep accelerator capacity productive across workloads.
PlacementThroughputEfficiency
05
Scalable Cluster Architecture
Grow from dedicated clusters to private AI cloud and rack-scale AI factory deployments.
ClustersPrivate CloudAI Infrastructure
06
Operational Visibility
Monitor capacity, workload health, and infrastructure readiness across production systems.
TelemetryCapacityWorkload Health
COMPUTE PLATFORMS
Enterprise AI Compute Platforms
Available today for enterprise deployments—from flexible B300 clusters to rack-scale GB300 AI factories.
Purpose-built infrastructure for enterprise training, inference, and AI factory deployments.
Flexible Enterprise AI Platform
B300 HGX
Available in both air-cooled and liquid-cooled configurations, B300 HGX provides a highly flexible platform for enterprise AI training, large-scale inference, and dedicated GPU cloud deployments.
Air-CooledLiquid-CooledEnterprise TrainingLarge-Scale Inference
Deployment Options
Air-Cooled ClustersLiquid-Cooled ClustersDedicated GPU CloudPrivate AI Infrastructure
Rack-Scale AI Infrastructure Platform
GB300 NVL72
Available today for dedicated AI factory deployments, GB300 NVL72 delivers rack-scale liquid-cooled architecture for frontier AI training and high-density enterprise infrastructure.
NVL72Rack-ScaleLiquid CoolingAI Infrastructure Ready
Deployment Options
Rack-Scale AI InfrastructureDedicated InfrastructureFrontier AI TrainingHigh-Density Deployment
AI INFRASTRUCTURE
AI Infrastructure Fabric
Purpose-built infrastructure connecting compute, networking, and storage into a unified enterprise AI platform.
Designed to deliver predictable performance, scalable deployment, and production-ready AI operations.
GPU ComputeNetwork FabricAI PlatformAI Storage
01
Compute Fabric
Dedicated GPU clusters connected through high-speed interconnect for training, fine-tuning, inference, and AI factory workloads.
GPU ClustersNVLinkDedicated Capacity
02
Network Fabric
Low-latency leaf-spine networking built for distributed AI infrastructure and high-throughput GPU communication.
RoCEInfiniBand400G / 800G Ready
03
AI Storage Fabric
High-throughput storage connectivity for datasets, checkpoints, distributed training, and model pipelines.
Parallel StorageCheckpointingHigh Throughput
One Unified Fabric. Powering Enterprise AI from Compute to Platform.
AI DATA LAYER
AI Data Layer
Purpose-built storage architecture for enterprise AI training, inference, and model lifecycle.
Move datasets, checkpoints, model artifacts, and inference assets through a unified AI data pipeline.
Dataset IngestAI StorageGPU ComputeCheckpointingInference AssetsObject Storage
01
High-Throughput AI Storage
Purpose-built storage connectivity for datasets, model artifacts, checkpoints, and distributed AI training pipelines.
Parallel StorageObject StorageHigh Throughput
02
Checkpoint & Model Lifecycle
Move checkpoints, model versions, and inference assets across training and production environments.
CheckpointingModel ArtifactsLifecycle
03
Data Pipeline Operations
Coordinate data movement across storage, compute, and inference systems with production-ready visibility.
TelemetryPipeline HealthOperations
Unified data pipelines for every enterprise AI workload.
ENTERPRISE DEPLOYMENT
Enterprise Deployment Models
Deploy AI infrastructure the way your business operates.
From dedicated GPU cloud to fully integrated AI factories, choose the deployment model that best fits your enterprise requirements.
01
Dedicated GPU Cloud
Dedicated enterprise GPU infrastructure operated and managed by D-DAO.
AI StartupsModel BuildersInference
02
Private AI Cloud
Single-tenant AI infrastructure integrated with enterprise networking, security, and storage.
Enterprise ITFinancial ServicesHealthcareManufacturing
03
AI Infrastructure
Rack-scale AI infrastructure designed for production AI environments.
Hyperscale AINational AI ProgramsResearch LabsLarge Enterprise
Enterprise deployment, from dedicated GPU cloud to full AI factory infrastructure.