How to get the best deals on NVIDIA DGX Cloud â pricing breakdown, savings tips, and alternatives
per month
Don't overpay for features you won't use. Here's our recommendation based on your use case:
Most AI tools, including many in the cloud infrastructure category, offer special pricing for students, teachers, and educational institutions. These discounts typically range from 20-50% off regular pricing.
âĸ Students: Verify your student status with a .edu email or Student ID
âĸ Teachers: Faculty and staff often qualify for education pricing
âĸ Institutions: Schools can request volume discounts for classroom use
Most SaaS and AI tools tend to offer their best deals around these windows. While we can't guarantee NVIDIA DGX Cloud runs promotions during all of these, they're worth watching:
The biggest discount window across the SaaS industry â many tools offer their best annual deals here
Holiday promotions and year-end deals are common as companies push to close out Q4
Tools targeting students and educators often run promotions during this window
Signing up for NVIDIA DGX Cloud's email list is the best way to catch promotions as they happen
đĄ Pro tip: If you're not in a rush, Black Friday and end-of-year tend to be the safest bets for SaaS discounts across the board.
Test features before committing to paid plans
Save 10-30% compared to monthly payments
Many companies reimburse productivity tools
Some providers offer multi-tool packages
Wait for Black Friday or year-end sales
Some tools offer "win-back" discounts to returning users
If NVIDIA DGX Cloud's pricing doesn't fit your budget, consider these cloud infrastructure alternatives:
Amazon's comprehensive machine learning platform that serves as the center for data, analytics, and AI workloads on AWS.
Starting at $0 (first 2 months)
â Free plan available
Google Cloud's unified platform for machine learning and generative AI, offering 180+ foundation models, custom training, and enterprise MLOps tools.
Starting at $300 credits for 90 days
â Free plan available
Cloud infrastructure platform providing GPU-accelerated compute services specifically designed for AI and machine learning workloads.
Starting at From ~$2.06/hr (A100 80GB) to ~$4.76/hr (H100 SXM)
NVIDIA DGX Cloud pricing starts at approximately $36,999 per instance per month for an 8-GPU node with H100 or A100 GPUs, based on initial Microsoft Azure listings. Pricing is sold on reserved terms (typically monthly or annual) rather than hourly on-demand billing. All plans include NVIDIA AI Enterprise software, Base Command orchestration, and direct access to NVIDIA AI experts. Actual pricing varies by cloud partner (OCI, Azure, Google Cloud, AWS), GPU generation, and term length, and is negotiated through NVIDIA or the cloud provider's enterprise sales team.
DGX Cloud provides dedicated access to NVIDIA's flagship data center GPUs, including the H100 Tensor Core GPU (80GB HBM3) and A100 80GB. Each DGX Cloud node includes 8 GPUs connected by NVLink for 640GB of total GPU memory and multi-node configurations are connected by NVIDIA Quantum-2 InfiniBand at 400 Gb/s. NVIDIA has also announced Blackwell-based GB200 and GB300 NVL72 rack-scale systems coming to DGX Cloud, which will further accelerate trillion-parameter model training. Unlike shared cloud GPU offerings, DGX Cloud nodes are reserved, not preemptible.
DGX Cloud is infrastructure-first and optimized for training foundation models, while AWS SageMaker and Google Vertex AI are end-to-end ML platforms with broader tooling for deployment, feature stores, and AutoML. DGX Cloud delivers higher raw GPU performance per dollar for large-scale training because it uses NVIDIA reference architecture with dedicated InfiniBand fabric â not virtualized multi-tenant GPUs. Based on our analysis of 870+ AI tools, teams training models over 70B parameters typically choose DGX Cloud, while teams focused on managed ML pipelines and inference at variable scale choose SageMaker or Vertex. DGX Cloud also runs inside Azure, Google Cloud, OCI, and AWS, so customers can retain existing cloud billing relationships.
NVIDIA does not offer a self-service free trial for DGX Cloud in the traditional sense, but enterprise prospects can request a proof-of-concept engagement through NVIDIA's sales team. Developers who want to experiment with the same NVIDIA AI Enterprise software stack can use NVIDIA LaunchPad, which provides short-term free access to curated labs on DGX-class hardware. The NVIDIA NGC catalog also offers free access to pre-trained models and containers that run on DGX Cloud. For production workloads, expect a formal procurement process rather than a credit card checkout.
DGX Cloud is the core reserved-capacity service offering dedicated H100/A100 multi-node instances with NVIDIA AI Enterprise software. DGX Cloud Lepton, announced in 2025, is a GPU marketplace that aggregates compute capacity from a global network of NVIDIA cloud partners (GPU clouds like CoreWeave, Lambda, Nebius, and others), giving developers a unified API to access GPUs across providers. Lepton is designed for developers who want flexibility and broader GPU availability, while DGX Cloud proper is for enterprises committing to dedicated infrastructure. NVIDIA also offers DGX Cloud Serverless Inference for pay-per-call model deployment built on top of the same infrastructure.
Check out their current pricing and look for seasonal promotions
Get Started with NVIDIA DGX Cloud âPricing and discounts last verified March 2026