GPU cloud comparison · 2026
Google Cloud GPU vs Together AI
Together AI wins on 3 of 5 key metrics — but the right choice depends on your workload.
Google Cloud GPU
TPU + GPU powerhouse — best ecosystem for TensorFlow
from $2.48/h
★★★★☆ 4.3 / 5 (2,891 reviews)
Try Google Cloud GPU →VS
Overall Winner
Together AI
Inference-first GPU cloud — H100/H200 with optimized serving stacks
from $1.49/h
★★★★☆ 4.4 / 5 (521 reviews)
Try Together AI →Head-to-Head Comparison
Google Cloud GPU
Together AI
Starting Price Lower hourly rate
from $2.48/h
from $1.49/h
Overall Rating User rating
4.3 / 5
4.4 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
141 GB
Locations Regions covered
US, EU, APAC, Global
US, EU
Wins out of 5
2
3
GPU Availability
Google Cloud GPU
A100 40GBA100 80GBH100T4V100
VRAM: 16–80 GB · Locations: US, EU, APAC, Global
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, EU
Pros & Cons
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
Together AI
Pros
- Best-in-class inference performance
- Excellent open-source model coverage
- Strong fine-tuning workflow
- Token-based pricing for variable load
Cons
- Less GPU variety than RunPod
- Focus is inference, not raw training
- Custom interconnects not exposed
Which Should You Choose?
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
- You want more GPU variety (5 vs 4 types)
Choose Together AI if…
- You need GPU compute for High-throughput inference
- You need GPU compute for Open-source LLM serving
- You need GPU compute for Llama / Mistral fine-tuning
- You need GPU compute for Production AI APIs
- Lower price is your top priority (from $1.49/h vs from $2.48/h)
- Higher user satisfaction matters (4.4 vs 4.3)