Cloud gaming needs a balance between GPU performance, cost, and licensing. On AWS, the two most affordable GPU-powered instances for gaming workloads are g4ad.xlarge and g4dn.xlarge.
All prices are calculated for AWS EU-Central-1 (Frankfurt) region using . Prices vary between regions.
Instance Overview
These two instance types are different: g4ad.xlarge often delivers better raw gaming performance with its AMD GPU, but for video encoding and cloud streaming, NVIDIA ( g4dn.xlarge ) is generally preferred thanks to NVENC which is faster, more reliable and lower latency.
Boot Time & Instance Startup
One advantage of using AWS AMIs is fast boot and setup time, compared to providers like Vultr.
Current demo setup times: ~120–160 seconds. With instance reservations, startup time can be reduced by ~60% (because capacity is pre-allocated). Even in slower cases, startup usually stays under 200 seconds for g4dn instances. Cost Comparison - Per Game Session (Per Hour)
* Storage amortized: (150 GB × $0.08 = $12/month) ÷ 720h ≈ $0.016/h.
* Snapshot amortized: (110 GB × $0.05 = $5.5/month) ÷ 720h ≈ $0.008/h. Rounded slightly.
Infrastructure Comparison
Alternative Approach — Multi-GPU Dedicated Server
For production environments with consistent daily active users and near-full GPU utilization, a dedicated multi-GPU server can dramatically reduce costs.
Example:
3× RTX 3060 Ti server from Can host: 3 simultaneous players Effective cost: $0.23/h per GPU ($499.0 ÷ (3 GPUs × 720 hours)) Considerations
Requires capacity management and uptime monitoring Cloud Gaming Platforms That Use AWS
, Amazon’s own cloud gaming platform, is a real-world example that uses AWS EC2 G4 (g4dn.xlarge) instances for its backend. In contrast, , , and operate on dedicated datacenter or hybrid cloud models with their own GPU clusters to achieve lower per-hour costs and more predictable performance at scale. Their monthly plans are significantly cheaper because these platforms run on long-term reserved or owned infrastructure instead of hourly-billed cloud GPUs.
For example, GeForce NOW offers 100 hours of playtime for just $9.99/month, which translates to roughly $0.10–$0.16 per hour — far below on-demand AWS or Azure GPU rates.
This cost efficiency comes from:
Full control over hardware utilization No per-hour cloud billing overhead Optimized encoding pipelines tuned to their datacenter setup As a result, dedicated or hybrid models remain the most cost-effective.
Summary:
g4ad.xlarge → ~$0.69/hour per session (Windows licensed) or ~$0.51/hour (BYOL)
g4dn.xlarge → ~$0.877/hour per session (Windows licensed) or ~$0.69/hour (BYOL)
Studies show the average teen plays ~2.13 hours/day, or about 60 hours/month.
If building a subscription model:
A 60-hour baseline can be assumed per user. Light players (<60h) help subsidize heavy players (>60h). This keeps pricing predictable and consumer-friendly, unlike pure pay-as-you-go billing. Pricing Example
On-demand costs put g4ad.xlarge at ~$30–40/month per user for 60h. This is too high compared to competitors like GeForce NOW or Xbox Cloud Gaming. The realistic approach is capacity reservations (or savings plans):
Reserved instances cut costs by ~50% or more. With this, subscription pricing drops to around: g4ad.xlarge → ~$15/month per user g4dn.xlarge → ~$20/month per user ⚠️ Note: these numbers exclude any platform/service commission (X%) that must be added on top.
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