As of 2025, the Azure ND96isr H100 v5 instance with 8 NVIDIA H100 GPUs is priced at approximately $98.32 per hour on-demand in U.S. East and Central regions. Spot pricing offers savings, reducing costs to around $70–75 per hour. This instance features 96 vCPUs, 1,900 GiB memory, and ultra-high interconnect bandwidth, ideal for large AI and HPC workloads. Cyfuture Cloud also offers NVIDIA H100 GPU hosting with competitive and flexible pricing models, especially suitable for Indian customers looking for reduced latency and custom SLAs.
The Azure ND H100 v5 series is Microsoft's flagship cloud GPU VM offering designed specifically for intensive deep learning training, AI model training, and high-performance computing (HPC). Each VM is equipped with:
8 × NVIDIA H100 Tensor Core GPUs (80GB each)
96 vCPUs (Intel Sapphire Rapids)
1,900 GiB memory
3.2 Tbps interconnect bandwidth per VM with NVLink 4.0 and NVIDIA Quantum-2 CX7 InfiniBand (400 Gb/s per GPU)
Local NVMe storage (~28 TB)
This hardware stack ensures ultra-fast inter-GPU communication, essential for scale-up and scale-out AI workloads like large language models (LLMs), scientific simulations, and real-time inference platforms.
Instance |
GPUs |
Region |
Price Per Hour (On-Demand) |
Spot Price Per Hour |
Monthly Cost Estimate* |
ND96isr H100 v5 |
8 |
East US, Central US |
$98.32 |
~$70 - $75 |
$26,496 - $35,395 (12 hrs/day, 30 days) |
*Monthly estimate assumes 12 hours per day usage over a month.
Per GPU hourly cost breaks down to approximately $12.29 per hour.
Spot instances provide 20-30% cost savings but may face interruptions.
Pricing varies slightly by region and reserved instance options can lower expenses by up to 60%.
Additional costs for networking, storage, and software services apply.
Azure provides an enterprise-grade cloud platform, offering flexibility in scaling GPU resources according to project needs.
When normalized for a single NVIDIA H100 GPU, Azure stands competitively with other providers:
Cloud Provider |
GPU Model |
Price Per Hour (Single GPU) |
Region |
Azure |
H100 80GB |
$6.98/hr (single GPU VM) |
East US |
AWS |
p5.48xlarge (8 GPUs) |
~$7.57/hr per GPU |
US |
Google Cloud |
A3 High (1 GPU) |
~$11.06/hr |
US Central |
Lambda Labs |
8× NVIDIA H100 SXM |
$2.99/hr (8-GPU instance) |
US |
Prices may reflect different instance sizes, usage terms, and regional cost structures. Azure's ND H100 v5 focuses on scale and interconnect bandwidth, making it a premium offering for highest performance needs.
Training large language models (GPT, BERT, Transformer-based architectures)
Distributed deep learning workloads requiring low-latency GPU communication
High-fidelity scientific simulations such as fluid dynamics, molecular modeling
Enterprise AI platforms delivering real-time inferencing at scale
AI-as-a-Service (AIaaS) companies needing scalable GPU infrastructure
Azure's ND H100 v5 stands apart by providing both sheer GPU compute power and an advanced interconnect technology stack for multi-GPU parallelism.
Consider spot instances for non-critical, interruptible workloads to save 20-30%.
Leverage reserved or savings plans for sustained usage to reduce costs up to 60%.
Use Azure autoscale features to shut down idle VMs during low demand.
Evaluate regional pricing differences and choose zones with lower hour rates.
Explore hybrid cloud or multi-cloud setups, combining Azure with providers like Cyfuture Cloud for regional presence and cost efficiency.
Use the Azure pricing calculator to estimate total cost including compute, storage, and networking.
Cyfuture Cloud is a notable alternative cloud provider offering NVIDIA H100 and A100 GPU hosting with cost-effective, flexible pricing, and localized infrastructure. Benefits include:
High availability GPU servers in India and other regions, reducing latency for local users.
Customized Service Level Agreements (SLAs) tailored for enterprise-grade reliability.
Competitive pricing compared to global hyperscalers like Azure, especially for customers requiring Indian data residency.
Flexible billing models allowing startups and enterprises to optimize GPU expenses.
Strong support for AI, ML, and HPC workloads with NVIDIA’s latest GPUs.
The VM includes 8 NVIDIA H100 GPUs (80GB each), 96 Intel vCPUs, 1,900 GiB RAM, NVLink 4.0 GPU interconnect, 3.2 Tbps InfiniBand, and local NVMe storage of approximately 28 TB.
Spot pricing offers significant discount (~20-30%) but VMs can be evicted anytime when Azure needs capacity. Ideal for experimental workloads and checkpointed training jobs.
Cyfuture Cloud provides similar compute power with NVIDIA H100 GPUs and regional Indian presence for lower latency. Exact pricing is flexible but generally competitive, with a focus on client-specific SLA customization.
Yes. Azure offers savings plans and reserved instances for 1 or 3 years that can reduce costs by up to 60% compared to on-demand pricing.
Azure's ND96isr H100 v5 instances represent some of the most powerful GPU-accelerated virtual machines available for AI and HPC workloads in 2025, with prices reflecting their premium feature set. Organizations needing ultra-high-performance, interconnected GPUs at scale can leverage these instances for cutting-edge research and commercial AI applications. For cost-sensitive or region-specific demands, Cyfuture Cloud provides compelling NVIDIA H100 GPU hosting alternatives with competitive pricing and tailored support.
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