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AWS g4dn.xlarge Price Per Hour for GPU Workloads

In 2025, GPU-accelerated cloud instances will become the backbone of modern computing—fueling everything from machine learning and video rendering to virtual desktops and game streaming. As per a recent IDC report, over 60% of AI and deep learning workloads now rely on cloud GPUs, with AWS leading the market in flexibility and global reach.

Among its many GPU-powered offerings, the AWS g4dn.xlarge instance stands out as a popular, cost-efficient option for developers and businesses running light to moderate GPU workloads.

But how much does it really cost per hour to run this instance? And are there more economical alternatives available in India or elsewhere? This blog breaks it all down, including comparisons with Cyfuture Cloud and practical tips for choosing the right cloud GPU server at the right price.

What is AWS g4dn.xlarge?

The g4dn.xlarge instance is part of AWS’s G4 series, built specifically for graphics-intensive and machine learning workloads. It provides a great balance of price and performance for tasks that require GPU acceleration without going overboard.

Key Specifications:

GPU: 1 NVIDIA T4 Tensor Core GPU

vCPUs: 4 Intel Cascade Lake processors

RAM: 16 GB

Storage: 125 GB NVMe SSD

Networking: Up to 25 Gbps

It’s commonly used for:

AI inference (e.g., NLP, computer vision)

Low-latency game streaming

Video encoding and rendering

Virtual workstations

The g4dn.xlarge offers the best entry-level GPU instance on AWS for those who want to harness NVIDIA T4 capabilities without investing in heavier, pricier options like p3 or p4 instances.

AWS g4dn.xlarge Price Per Hour (As of 2025)

The hourly pricing for g4dn.xlarge varies depending on the AWS region. Below are the updated pay-as-you-go prices (on-demand) for key markets:

Region

Price/Hour (USD)

Approx INR/hr

US East (N. Virginia)

$0.526

₹43.80

Asia Pacific (Mumbai)

$0.654

₹54.50

Europe (Frankfurt)

$0.578

₹48.10

Note: Prices can be reduced by opting for Reserved Instances or Savings Plans.

For long-term GPU-based workloads, running on-demand can quickly get expensive. Over a month (720 hours), the Mumbai pricing amounts to ₹39,240/month just for one instance.

This is where alternative cloud providers like Cyfuture Cloud become highly relevant—especially for startups, developers, and SMBs in India looking to reduce infrastructure costs without compromising on performance.

Comparing AWS g4dn.xlarge with Cyfuture Cloud GPU Servers

Cyfuture Cloud offers GPU-optimized cloud instances for AI inference, training, rendering, and more. While AWS delivers global infrastructure, Cyfuture Cloud caters specifically to Indian workloads, ensuring low latency and cost-effective computation.

Here’s a quick comparison:

Feature

AWS g4dn.xlarge

Cyfuture Cloud GPU Node

GPU Type

NVIDIA T4

NVIDIA T4 / A10 / A100

RAM

16 GB

16–64 GB

Price/hour (INR)

₹54.50 (Mumbai)

Starts at ₹39/hour

Storage

125 GB SSD

Custom (SSD/NVMe options)

Hosting Location

Mumbai DC

Noida, Jaipur, Bangalore

Uptime SLA

99.99%

99.95%

Support

Basic (AWS tiered)

24/7 India-based support

Why Choose Cyfuture Cloud?

Data sovereignty – All data remains within India.

Cost-effective plans – Especially ideal for extended AI model testing and batch inference.

Instant provisioning – No long wait times to spin up instances.

Indian billing and support – No FX conversion hassles or international tax issues.

When to Use g4dn.xlarge (And When Not To)

Best Use Cases:

Deploying AI models that need T4 acceleration for inference

Real-time video rendering with moderate GPU power

Running small-to-medium ML workloads that don't require multi-GPU scaling

Cost-sensitive dev and test environments

Not Ideal For:

GPU training of large AI/LLM models (use p3/p4 or A100-based instances)

High-frame-rate game streaming (requires more GPU memory)

Long-term hosting unless under Reserved Instance pricing

If you need greater control over costs, consider shifting workloads to a local cloud hosting provider with predictable billing—like Cyfuture Cloud.

Tips to Reduce GPU Cloud Costs

If you decide to stay with AWS or any other cloud GPU provider, here are some ways to reduce your monthly bill:

Spot Instances – Can reduce costs by up to 80%, but may be interrupted.

Reserved Instances – Commit for 1–3 years and save 30-50%.

Auto-shutdown scripts – Avoid idle compute time.

Instance scheduling – Use AWS Lambda or third-party tools to schedule start/stop.

Move to Cyfuture Cloud – Pay in INR with no hidden fees, and get comparable GPU performance.

Server Hosting and Uptime Considerations

Whether you're using AWS or Cyfuture cloud, always factor in:

Uptime SLA: Aim for 99.9% or more.

Support availability: 24/7 human support helps during downtimes.

Storage IOPS: Don’t overlook performance of SSDs attached to your instance.

Data center proximity: Local data centers (e.g., Noida, Jaipur) offer faster latency for Indian users.

Conclusion: Is AWS g4dn.xlarge Worth the Price?

For short bursts of compute or light GPU inference workloads, the AWS g4dn.xlarge instance delivers reliable NVIDIA T4 performance and is easy to provision. But for long-running processes or tight budgets, costs can escalate quickly.

That’s where Cyfuture Cloud enters the frame—offering competitive GPU cloud hosting in India with local support, predictable pricing in INR, and performance comparable to AWS.

If you're an Indian business or developer team looking for cloud-native GPU infrastructure without breaking the bank, it’s time to explore hosting your workloads with Cyfuture Cloud. Not only do you get scalable servers and reliable uptime, but you also enjoy full control over your GPU resource consumption.

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