GPU cloud comparison · 2026
Together AI vs Vast.ai
Vast.ai wins on 3 of 5 key metrics — but the right choice depends on your workload.
Together AI
Inference-first GPU cloud — H100/H200 with optimized serving stacks
from $1.49/h
★★★★☆ 4.4 / 5 (521 reviews)
Try Together AI →VS
Overall Winner
Vast.ai
Cheapest GPU cloud — peer-to-peer marketplace for budget training
from $0.10/h
★★★★☆ 4.1 / 5 (2,108 reviews)
Try Vast.ai →Head-to-Head Comparison
Together AI
Vast.ai
Starting Price Lower hourly rate
from $1.49/h
from $0.10/h
Overall Rating User rating
4.4 / 5
4.1 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
141 GB
80 GB
Locations Regions covered
US, EU
US, EU, APAC, Global
Wins out of 5
2
3
GPU Availability
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, EU
Vast.ai
RTX 3090RTX 4090A100H1003060
VRAM: 8–80 GB · Locations: US, EU, APAC, Global
Pros & Cons
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
Vast.ai
Pros
- Absolute cheapest GPU compute available
- Widest GPU variety including consumer cards
- Good for fault-tolerant batch jobs
- Marketplace competition drives prices down
Cons
- Hosts can take instances offline anytime
- Variable reliability across providers
- Less suitable for time-sensitive inference
Which Should You Choose?
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
- Higher user satisfaction matters (4.4 vs 4.1)
Choose Vast.ai if…
- You need GPU compute for Batch training
- You need GPU compute for Budget experiments
- You need GPU compute for Stable Diffusion
- You need GPU compute for Data processing
- Lower price is your top priority (from $0.10/h vs from $1.49/h)
- You want more GPU variety (5 vs 4 types)