NVIDIA DGX Cloud

Available Now

Best for Massive Foundation Model Training, Enterprise Generative AI, Pharmaceutical Research

🏢 Santa Clara, CA, USA📅 Since 1993★ 9.8/10🌐 Website ↗

About NVIDIA DGX Cloud

NVIDIA DGX Cloud is the pinnacle of enterprise AI supercomputing. Rather than purchasing physical DGX systems, enterprises can lease access to massive, fully interconnected DGX clusters hosted within partner data centers (like OCI or Azure). It provides an unmatched multi-node AI training architecture designed to conquer the most complex deep learning workloads.

Building Foundation Models

This platform is exclusively targeted at the Fortune 500, autonomous vehicle manufacturers, and top-tier AI labs. It includes full access to the NVIDIA AI Enterprise software stack, ensuring that training massive foundation models like Large Language Models (LLMs) happens at the absolute bleeding edge of computational physics.

Pros & Cons

Pros
  • Absolute top-tier performance utilizing NVIDIA's proprietary multi-node AI training architecture
  • Includes the complete NVIDIA AI Enterprise software suite natively
  • Dedicated access to NVIDIA support engineers
  • Bypasses the complexity of managing physical DGX SuperPODs
Cons
  • Astronomically expensive, strictly tailored for multi-million dollar enterprise budgets
  • Extremely difficult to procure without corporate contracts
  • Overkill for small-scale inference or fine-tuning

Ideal Use Cases

enterprise-aiHPCLLM Training
GPU ModelsDGX H100, DGX A100
GPU TypesA100, H100
HeadquartersSanta Clara, CA, USA
Founded1993
AvailabilityAvailable Now
Websitewww.nvidia.com ↗
$15.00/ hour (starting)$40.00/ hr (max)

💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →

Request Pricing Quote
Global (via partner network)
Compute Power100
Network Speed100
Storage I/O98
Uptime SLA99.99
Support Quality95
Value for Money85
Starting from
$15.00/hr
Up to $40.00/hr
Get a Quote
Response within 24 hours
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Frequently Asked Questions

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