Azure ND H100 v5 Price per Hour 2025: Updated GPU Rates

The Azure ND H100 v5 series is one of the most advanced GPU-powered VM families for AI training, HPC, and large-scale deep learning workloads. In 2025, organizations are actively searching for updated azure nd h100 v5 pricing per hour details to optimize cloud spending.

What is Azure ND H100 v5?

The Azure ND H100 v5 instances are powered by NVIDIA H100 Tensor Core GPUs, designed for large-scale AI compute workloads such as:

◾ LLM training

◾ Deep learning

◾ Distributed AI clusters

◾ Scientific simulations

◾ Enterprise-grade HPC workloads

Key Hardware Specifications

◾ 8 × NVIDIA H100 80GB GPUs

◾ 96 vCPUs

◾ ~1900 GiB Memory

◾ NVLink + InfiniBand for ultra-fast GPU-to-GPU communication

◾ Local NVMe storage

Azure ND H100 v5 Pricing per Hour (2025)

Understanding the azure nd h100 v5 pricing per hour is essential for budgeting AI compute in 2025. Below is the latest pricing information.

Azure ND H100 v5 Price per Hour - On-Demand

The flagship ND96isr H100 v5 instance costs approximately:

➡ On-Demand Price: ~$98.32 per hour

This is the standard, flexible pricing model and best for:

◾ Short-term workloads

◾ Testing and POCs

◾ Immediate scaling

Approximate GPU-wise cost:
➡ $12.29 per H100 GPU per hour

This baseline helps estimate the expenses of a multi-GPU cluster.

Azure ND H100 v5 Spot Pricing (Low-Cost Option)

Spot pricing significantly reduces azure nd h100 v5 price per hour for interruptible workloads.

➡ Spot Price: ~$88.49 per hour

Ideal for:

◾ Batch training

◾ Checkpoint-supported tasks

◾ Cost-sensitive research workloads

Spot instances offer the same performance at a much lower cost.

What Influences Azure ND H100 v5 Pricing per Hour?

Multiple factors determine the final azure nd h100 v5 price per hour, including:

✔ Region

Different Azure regions have different infrastructure costs.

✔ Instance Size

While ND96isr H100 v5 is the primary 8-GPU model, Azure may offer variations depending on demand.

✔ Billing Model

◾ On-demand

◾ Spot

◾ Reserved

Each model drastically changes the effective price.

✔ Network & Storage

Extra usage such as managed disks or outbound data transfer increases total cost.

✔ Autoscaling Usage

Efficient auto-scaling policies can significantly reduce overall spending.

Cost Optimization Tips

To control the azure nd h100 v5 pricing per hour, consider:

◾ Use spot VMs for non-critical training jobs

◾ Implement autoscaling in Kubernetes/AML

◾ Reserve instances for long-term workloads

◾ Use efficient batch sizes to maximize GPU utilization

◾ Reduce multi-region transfers

Alternatives to Azure ND H100 v5

While Azure is preferred for enterprise workflows, other cloud providers may offer:

◾ Lower cost per GPU

◾ Single GPU configurations

◾ More region-specific H100 options

However, Azure stands out for reliability, large-scale networking, and ecosystem integration.

Who Should Use ND H100 v5?

Azure ND H100 v5 instances are ideal for:

◾ Training large language models

◾ Enterprise AI research

◾ HPC workloads

◾ Multi-GPU distributed training

◾ AI model fine-tuning at scale

Due to the high hourly cost, it's best suited for teams needing extreme compute performance.

Factors Affecting Azure ND H100 v5 Pricing

Several factors influence the final cost of Azure ND H100 v5 instances:

Instance Configuration: Number of GPUs, vCPUs, RAM, and storage

Region: Pricing differs based on the data center location

Usage Commitment: On-demand vs reserved instances or spot VMs

Additional Services: Network bandwidth, premium storage, and support plans

Autoscaling: Can save costs by shutting down idle instances during off-hours.

How Does Cyfuture Cloud Compare?

Cyfuture Cloud is an emerging cloud provider offering NVIDIA H100 GPU hosting with competitive and flexible pricing models. While exact public pricing is not always detailed, Cyfuture emphasizes:

Lower Total Cost of Ownership (TCO)

Customized service level agreements (SLAs)

High availability with regional data centers, including India, for lower latency

Flexible billing options suitable for enterprises and AI startups alike

For users seeking hybrid cloud deployments or regional GPU resources to complement Azure, Cyfuture Cloud is a strong alternative.

Use Cases for ND H100 v5 GPUs

Azure ND H100 v5 instances are ideal for:

Training large language models (LLMs) and generative AI applications

Scientific simulations and computational fluid dynamics

Real-time inferencing for AI-powered applications

Large-scale analytics and machine learning workloads

High-performance computing clusters requiring fast GPU interconnects.

Frequently Asked Questions

What is the main difference between Azure ND H100 v5 and previous GPU VMs?

The ND H100 v5 series incorporates NVIDIA’s latest H100 GPUs with faster interconnects (PCIe Gen 5, NVLink 4.0, and InfiniBand) and more memory per GPU (80GB), providing significant speed and efficiency improvements over previous A100 or V100-based VMs.

Can I use spot instances to reduce costs?

Yes, spot instances offer discounts of 20-30%, but there is a risk of eviction. They are suitable for experimentation or checkpointed training workflows.

Does Cyfuture Cloud provide the same performance as Azure ND H100 v5?

Cyfuture Cloud offers H100 GPU-based hosting with competitive performance and regional advantages, though specific configurations may vary. They are an excellent choice for businesses prioritizing cost and regional compliance.

Conclusion

The Azure ND H100 v5 virtual machine remains a top-tier GPU offering in 2025, with on-demand pricing of approximately $98.32 per hour for an 8-GPU configuration in major U.S. regions. While this pricing reflects the premium performance of NVIDIA’s H100 GPUs, strategic use of spot instances, reserved VMs, and autoscaling can optimize costs.

For enterprises seeking regional flexibility, cost-effective alternatives, or hybrid cloud GPU deployments, Cyfuture Cloud presents a compelling option with advanced H100 GPU infrastructure and customizable pricing plans.

Choosing the right cloud GPU provider depends on workload requirements, budget, and geographic preferences, and both Azure and Cyfuture Cloud offer robust solutions to meet diverse AI and HPC demands.