"GPU Configuration"

Select from our high-performance GPU options based on your computational needs.

Choose the GPU that best matches your workload requirements:

GPU Model	Performance	Best For
H100-SXM5-80GB	Highest performance for large-scale AI training	Large language models, complex AI research
H100-PCIe-NVLink-80GB	High-performance with NVLink	Multi-GPU workloads, distributed training
H100-PCIe-80GB	High-performance PCIe interface	Single-GPU inference, model training
A100-SXM4-80GB-NVLink	Excellent for deep learning and HPC	Deep learning, scientific computing
A100-PCIe-80GB	High-performance PCIe A100	ML training, data analytics
L40	Balanced performance for diverse workloads	AI inference, graphics workloads
RTX-A6000	Cost-effective for smaller workloads	Development, small-scale training
A40	Versatile professional GPU	Professional graphics, AI development

GPU Instance Pricing

USD Pricing

GPU Model	USD per Hour	Performance Level
H100-SXM5-80GB	$2.69	Highest
H100-PCIe-NVLink-80GB	$2.29	Very High
H100-PCIe-80GB	$2.25	Very High
A100-SXM4-80GB-NVLink	$1.59	High
A100-PCIe-80GB	$1.55	High
L40	$1.19	Medium-High
RTX-A6000	$0.69	Medium
A40	$0.69	Medium

EUR Pricing

GPU Model	EUR per Hour	Performance Level
H100-SXM5-80GB	€2.49	Highest
H100-PCIe-NVLink-80GB	€2.09	Very High
H100-PCIe-80GB	€2.05	Very High
A100-SXM4-80GB-NVLink	€1.45	High
A100-PCIe-80GB	€1.39	High
L40	€1.09	Medium-High
RTX-A6000	€0.45	Medium
A40	€0.45	Medium

INR Pricing

GPU Model	INR per Hour	Performance Level
H100-SXM5-80GB	₹239	Highest
H100-PCIe-NVLink-80GB	₹199	Very High
H100-PCIe-80GB	₹195	Very High
A100-SXM4-80GB-NVLink	₹135	High
A100-PCIe-80GB	₹135	High
L40	₹99	Medium-High
RTX-A6000	₹49	Medium
A40	₹49	Medium

GPU Detailed Specifications

H100 Series

A100 Series

Professional GPUs

NVIDIA H100 GPUs

H100-SXM5-80GB

Memory: 80GB HBM3

Architecture: Hopper

Best for: Large language models, transformer training

Multi-Instance GPU: Yes

NVLink: 900 GB/s

H100-PCIe-NVLink-80GB

Memory: 80GB HBM3

Interface: PCIe with NVLink

Best for: Multi-GPU distributed training

Interconnect: High-bandwidth NVLink

H100-PCIe-80GB

Memory: 80GB HBM3

Interface: PCIe 5.0

Best for: Single-GPU inference and training

Power Efficiency: Optimized for single-node workloads

GPU Count Selection

Choose the number of GPUs for your virtual machine:

Single GPU

Perfect for:

Development and testing

Small to medium model training

Inference workloads

Cost-effective computing

Multi-GPU

Ideal for:

Large model training

Distributed computing

High-throughput inference

Parallel processing workloads

Multi-GPU Configuration

Available counts are dynamically updated based on current stock

Higher GPU counts provide more computational power for parallel workloads

Multi-GPU setups automatically include NVLink for supported GPU types

GPU availability varies by region and is updated in real-time

GPU Selection Guide

By Use Case

Large Language Models (LLMs)

Deep Learning Research

AI Inference

Development & Prototyping

Graphics & Visualization

By Performance Tier

Maximum Performance

High Performance

Balanced Performance

Cost-Effective

H100 Series

Latest architecture with highest performance

80GB memory for the largest models

Advanced Tensor Cores for AI workloads

Best for cutting-edge research and production

Best for: Large-scale AI training, advanced research, production LLM inference

Regional Availability

GPU availability and selection varies by region:

NORWAY-1

Europe Region

All GPU types available

Low latency for European users

GDPR compliant infrastructure

CANADA-1

North America Region

All GPU types available

High-speed connectivity

Optimized for North American users

US-1

United States Region

All GPU types available

US-based infrastructure

Low latency for US users

GPU Selection Tips

Performance Optimization

Memory Considerations

Key Factors:

Model size requirements

Batch size optimization

Dataset memory usage

Multi-model deployment

Compute Requirements

Key Factors:

Training time constraints

Inference latency needs

Parallel processing requirements

Throughput expectations

Cost Optimization

Development vs Production

Workload Matching

Getting Started

Assess Your Needs

Determine your primary use case

Estimate memory requirements

Consider performance needs

Plan your budget

Select GPU Type

Choose based on workload requirements

Consider regional availability

Review pricing for your currency

Start with single GPU and scale as needed

Deploy and Test

Deploy VM with selected GPU

Test performance with your workload

Monitor resource utilization

Optimize configuration as needed

Scale and Optimize

Add more GPUs if needed

Optimize software for multi-GPU

Monitor costs and performance

Adjust configuration based on results

GPU Instance Pricing#

USD Pricing#

EUR Pricing#

INR Pricing#

GPU Detailed Specifications#

NVIDIA H100 GPUs#

GPU Count Selection#

Multi-GPU Configuration#

GPU Selection Guide#

By Use Case#

By Performance Tier#

Regional Availability#

GPU Selection Tips#

Performance Optimization#

Cost Optimization#

Getting Started#

GPU Instance Pricing

USD Pricing

EUR Pricing

INR Pricing

GPU Detailed Specifications

NVIDIA H100 GPUs

GPU Count Selection

Multi-GPU Configuration

GPU Selection Guide

By Use Case

By Performance Tier

Regional Availability

GPU Selection Tips

Performance Optimization

Cost Optimization

Getting Started