NVIDIA's cloud platform providing access to powerful GPU infrastructure for AI model training, inference, and high-performance computing workloads.
NVIDIA DGX Cloud is a Cloud Infrastructure platform that delivers dedicated access to NVIDIA's latest GPU supercomputing architecture for training, fine-tuning, and deploying generative AI models, with pricing available through enterprise agreements starting at approximately $36,999 per instance per month. It is designed for large enterprises, AI research labs, and organizations building foundation models who require turnkey access to thousands of interconnected GPUs without building their own data centers.
DGX Cloud is co-engineered with leading cloud service providers including Oracle Cloud Infrastructure, Microsoft Azure, Google Cloud, and AWS, giving customers a consistent NVIDIA software stack across hyperscalers. Each DGX Cloud instance provides access to eight NVIDIA H100 or A100 80GB Tensor Core GPUs (640GB of total GPU memory per node), high-speed NVLink and InfiniBand interconnects for multi-node scaling, and NVIDIA AI Enterprise software including NeMo, RAPIDS, and pre-trained foundation models. The platform is optimized for training trillion-parameter large language models, computer vision workloads, and recommender systems that would otherwise require months of infrastructure procurement.
Compared to the other cloud infrastructure tools in our directory â such as AWS SageMaker, Google Vertex AI, CoreWeave, and Lambda Labs â DGX Cloud differentiates by offering reserved, serverless-style access to full NVIDIA reference architectures (not shared multi-tenant GPUs), direct access to NVIDIA's engineering and AI expert concierge, and integration with NVIDIA Base Command for job orchestration. Based on our analysis of 870+ AI tools, DGX Cloud sits at the premium tier of GPU cloud infrastructure: it is not designed for hobbyists or solo developers, but rather for Fortune 500 enterprises, sovereign AI initiatives, and well-funded AI startups training frontier models. NVIDIA announced DGX Cloud in March 2023 and has since expanded it with DGX Cloud Lepton (GPU marketplace), DGX Cloud Serverless Inference, and DGX Cloud Benchmarking introduced throughout 2024 and 2025.
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Each DGX Cloud instance is a full 8-GPU node built to NVIDIA's DGX H100 or A100 reference design, with 640GB of total GPU memory, NVLink intra-node interconnect, and NVIDIA Quantum-2 400 Gb/s InfiniBand between nodes. This is the same hardware NVIDIA uses to train its own foundation models, ensuring predictable performance at scale.
DGX Cloud bundles the full NVIDIA AI Enterprise stack, including NeMo for large language model development, RAPIDS for GPU-accelerated data science, and Triton Inference Server. This software is otherwise licensed at approximately $4,500 per GPU per year, so the bundle represents meaningful value for multi-GPU deployments.
NVIDIA Base Command provides a managed interface for scheduling, monitoring, and managing multi-node training jobs on DGX Cloud. It handles cluster health, data movement, and experiment tracking, reducing the DevOps burden compared to rolling your own Kubernetes or Slurm cluster on raw cloud GPUs.
Launched in 2025, DGX Cloud Lepton is a unified GPU marketplace that aggregates capacity from NVIDIA's partner clouds like CoreWeave, Lambda, and Nebius. Developers can provision GPUs across providers through a single API, improving availability during GPU shortages and enabling geographic flexibility for data residency.
DGX Cloud customers receive concierge-level support from NVIDIA's AI engineers, who have hands-on experience training the company's own foundation models. This includes architecture review, performance tuning, and guidance on NeMo workflows â a service that would cost hundreds of thousands of dollars if procured from a third-party ML consultancy.
~$36,999/month per instance
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In 2025 NVIDIA expanded DGX Cloud with three major additions: DGX Cloud Lepton, a unified GPU marketplace aggregating capacity across NVIDIA cloud partners like CoreWeave, Lambda, and Nebius; DGX Cloud Serverless Inference for pay-per-call model deployment; and DGX Cloud Benchmarking for standardized performance evaluation. NVIDIA has also announced Blackwell-based GB200 and GB300 NVL72 rack-scale systems coming to DGX Cloud, further accelerating trillion-parameter training workloads into 2026.
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