GPU cloud comparison · 2026
AWS GPU (EC2) vs Google Cloud GPU
AWS GPU (EC2) wins on 3 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
AWS GPU (EC2)
Largest GPU fleet worldwide — P4/P5 instances for enterprise
from $3.06/h
★★★★☆ 4.2 / 5 (4,123 reviews)
Try AWS GPU (EC2) →VS
Google Cloud GPU
TPU + GPU powerhouse — best ecosystem for TensorFlow
from $2.48/h
★★★★☆ 4.3 / 5 (2,891 reviews)
Try Google Cloud GPU →Head-to-Head Comparison
AWS GPU (EC2)
Google Cloud GPU
Starting Price Lower hourly rate
from $3.06/h
from $2.48/h
Overall Rating User rating
4.2 / 5
4.3 / 5
GPU Types Variety
5 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, EU, APAC, Global
US, EU, APAC, Global
Wins out of 5
3
2
GPU Availability
AWS GPU (EC2)
A100H100V100T4Inferentia2
VRAM: 16–80 GB · Locations: US, EU, APAC, Global
Google Cloud GPU
A100 40GBA100 80GBH100T4V100
VRAM: 16–80 GB · Locations: US, EU, APAC, Global
Pros & Cons
AWS GPU (EC2)
Pros
- Most comprehensive ML toolchain (SageMaker)
- Spot instances for massive cost savings
- Best compliance certifications globally
- Inferentia for cost-effective inference
Cons
- Most expensive on-demand GPU pricing
- Complex pricing model
- Not beginner-friendly for pure GPU rental
Google Cloud GPU
Pros
- Best TPU availability for TF workloads
- Deep Vertex AI + BigQuery integration
- Global infrastructure and reliability
- Preemptible instances cut costs significantly
Cons
- Expensive on-demand pricing
- Complex billing — easy to overspend
- Steep learning curve for GCP newcomers
Which Should You Choose?
Choose AWS GPU (EC2) if…
- You need GPU compute for Enterprise MLOps
- You need GPU compute for SageMaker pipelines
- You need GPU compute for Production inference
- You need GPU compute for Regulated industries
- You want more GPU variety (5 vs 5 types)
Choose Google Cloud GPU if…
- You need GPU compute for TensorFlow workloads
- You need GPU compute for TPU training
- You need GPU compute for Enterprise AI
- You need GPU compute for Vertex AI pipelines
- Lower price is your top priority (from $2.48/h vs from $3.06/h)
- Higher user satisfaction matters (4.3 vs 4.2)