VoltageGPU vs AWS

GPU cloud pricing and feature comparison — March 2026. Enterprise-grade GPUs at a fraction of AWS pricing.

Save up to 78%Zero egress feesNo commitments

GPU Pricing Comparison

8x A100 80GB

VoltageGPU$6.02/h
AWS p4de.24xlarge$27.45/h
Save 78%

8x H200 141GB

VoltageGPU$26.60/h
AWS p5e (est.)$34.64/h
Save 23%

AWS pricing based on publicly listed US East on-demand rates as of March 2026. AWS p5e pricing is estimated based on announced rates. VoltageGPU pricing reflects current listed on-demand rates.

Key Differences

No Egress Fees

VoltageGPU charges zero for data transfer. AWS charges $0.09/GB for egress, which adds up fast when moving large datasets and model weights. For a 100GB model download, that is $9 per transfer on AWS — free on VoltageGPU.

No Minimum Commitment

VoltageGPU is pure pay-as-you-go with per-second billing. AWS requires 1-3 year Reserved Instance commitments for competitive pricing, with upfront payments of $50,000+ for GPU instances.

Per-Second Billing

VoltageGPU bills per second from the moment you start a pod. AWS bills per second too, but with a 60-second minimum. For short burst workloads, VoltageGPU is more efficient.

No Reserved Instances Needed

VoltageGPU on-demand pricing ($6.02/h for 8xA100) is already lower than AWS Reserved Instance pricing. You get the best price without locking in capital or predicting your usage months ahead.

Annual Savings Example

Scenario: 8xA100 cluster, 8 hours/day, 5 days/week

A typical ML training workflow running 8 hours per day on a weekday schedule.

8x A100 80GB — Daily Usage: 8 hours

AWS daily cost (8h x $27.45)$219.60/day
VoltageGPU daily cost (8h x $6.02)$48.16/day
AWS monthly cost (22 working days)$4,831/mo
VoltageGPU monthly cost (22 working days)$1,060/mo
AWS annual cost$57,970/yr
VoltageGPU annual cost$12,715/yr
Annual Savings$45,255/year

Calculation based on on-demand rates. AWS costs may be reduced with Reserved Instances (requires upfront commitment). Savings exclude AWS egress fees which would further increase the gap.

Feature Comparison

Billing
Per-secondPer-second (60s min)
Deploy Time
< 60s5-15 min
Egress Fees
✓ Free✗ $0.09/GB
Commitment Required
✓ None✗ 1-3 years for best price
AI Models API
✓ 140+ includedVia Bedrock (extra cost)
Bitcoin Payments
✓ Yes✗ No
Setup Complexity
SimpleComplex (IAM, VPC, etc.)
Free Credits
$5 instant$300 (12-mo trial)

Try VoltageGPU — $5 Free Credit

Get enterprise GPUs at a fraction of AWS pricing. No commitments, no egress fees, no surprises.

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Frequently Asked Questions

How much cheaper is VoltageGPU compared to AWS for GPU workloads?
For 8xA100 80GB configurations, VoltageGPU costs $6.02/h compared to AWS p4de.24xlarge at $27.45/h — a 78% saving. For 8xH200, VoltageGPU is $26.60/h vs AWS p5e estimated at $34.64/h — a 23% saving. The exact savings depend on the GPU type and configuration.
Does VoltageGPU charge egress fees like AWS?
No. VoltageGPU has zero egress fees. AWS charges $0.09/GB for data transfer out of their network, which can add hundreds or thousands of dollars to monthly bills for data-intensive AI workloads like training large models or serving inference at scale.
Do I need reserved instances or commitments on VoltageGPU?
No. VoltageGPU uses pure on-demand, per-second billing with no minimum commitment. AWS offers lower prices through 1-year or 3-year Reserved Instances, but you pay upfront and are locked in. VoltageGPU on-demand pricing is already lower than most AWS reserved rates.
Can I migrate my AWS ML pipeline to VoltageGPU?
Yes. VoltageGPU supports Docker containers, SSH access, and an OpenAI-compatible API. If you use SageMaker or EC2 GPU instances, you can run the same Docker images on VoltageGPU pods. For inference workloads, our API is a drop-in replacement for OpenAI-compatible endpoints.

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