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NVIDIA DGX Cloud
Enterprise-grade AI infrastructure for building, training, and deploying models at scale
About NVIDIA DGX Cloud
NVIDIA DGX Cloud is an enterprise AI platform that provides on-demand access to world-class GPU infrastructure for building, training, and deploying advanced artificial intelligence models. The platform combines NVIDIA's proven DGX hardware architecture with cloud-native flexibility, enabling organizations to scale AI workloads without capital expenditure or infrastructure management overhead. DGX Cloud delivers accelerated computing performance through multi-GPU systems optimized for deep learning, large language models, and data science workflows. The platform offers pre-configured environments with NVIDIA CUDA, cuDNN, and tensorRT, reducing deployment time significantly. AiDOOS enhances DGX Cloud deployments by providing governance frameworks, cost optimization strategies, and integration pathways that streamline enterprise adoption. Organizations leverage DGX Cloud through AiDOOS to accelerate model development cycles, improve resource utilization, and reduce time-to-value for AI initiatives while maintaining enterprise security and compliance standards.
Challenges It Solves
- High capital costs and complexity of on-premise GPU infrastructure procurement
- Difficulty scaling AI training workloads without over-provisioning expensive hardware
- Long delays in accessing specialized compute resources for ML experimentation
- Managing performance optimization across distributed GPU clusters
- Integrating AI infrastructure with existing enterprise technology stacks
Use Cases
Large Language Model Development
Organizations train and fine-tune LLMs like GPT variants and BERT models using multi-GPU distributed training capabilities, reducing training time from weeks to days.
Computer Vision Model Training
Data science teams develop and validate computer vision models for autonomous vehicles, medical imaging, and surveillance using optimized GPU kernels and frameworks.
Generative AI Research
Research institutions and AI labs experiment with cutting-edge generative models, including diffusion models and transformers, with instant access to enterprise-grade compute.
AI Model Production Deployment
Enterprises deploy trained models to production with integrated inference optimization, monitoring, and auto-scaling capabilities for real-time predictions at scale.
Data Science Analytics Workloads
Analytics teams process large datasets and execute complex statistical models using GPU-accelerated libraries for faster insights and decision-making.
Pricing
Pricing available on request
NVIDIA DGX Cloud pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Harness parallel computing for faster model training
Up to 10x speedup in training workloads versus CPU-only systemsReady-to-use PyTorch, TensorFlow, and CUDA environments
Eliminate setup complexity and reduce time-to-first-experiment by 80%Scale compute resources up or down based on workload demands
Pay only for resources consumed with zero long-term commitmentsRole-based access, encryption, and compliance controls
Meet regulatory requirements across healthcare, finance, and government sectorsTeam-based project management and resource sharing
Accelerate model development by 45% through streamlined collaborationReal-time visibility into job performance and resource utilization
Identify bottlenecks and optimize workloads for 30% cost reductionReviews
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Enterprise Readiness
Integrations
7 total appsAccess pre-built, optimized containers for popular frameworks and applications
Interactive development environment for exploratory AI and ML workflows
Native support for distributed training and inference with TensorFlow frameworks
Optimized PyTorch training with DataParallel and DistributedDataParallel support
Container orchestration integration for complex multi-job workload management
Model tracking, versioning, and lifecycle management integration
Multi-cloud deployment options through cloud partner integrations
AiDOOS Managed Deployment
Deploy NVIDIA DGX Cloud in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
Configuration Options
A Virtual Delivery Center for NVIDIA DGX Cloud
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers NVIDIA DGX Cloud
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists