GPU cloud comparison · 2026
RunPod vs Together AI
RunPod wins on 4 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
RunPod
Best value GPU cloud — huge selection, community + secure cloud
from $0.20/h
★★★★★ 4.6 / 5 (3,241 reviews)
Try RunPod →VS
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
RunPod
Together AI
Starting Price Lower hourly rate
from $0.20/h
from $1.49/h
Overall Rating User rating
4.6 / 5
4.4 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
141 GB
Locations Regions covered
US, EU, CA
US, EU
Wins out of 5
4
1
GPU Availability
RunPod
RTX 3090RTX 4090A100 80GBH100A40
VRAM: 24–80 GB · Locations: US, EU, CA
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, EU
Pros & Cons
RunPod
Pros
- Cheapest community GPUs from $0.20/h
- Massive GPU variety including H100
- Serverless endpoints for inference APIs
- Great UI and pod management
Cons
- Community cloud less reliable than dedicated
- Storage costs add up over time
- Support can be slow on free tier
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 RunPod if…
- You need GPU compute for Fine-tuning LLMs
- You need GPU compute for Stable Diffusion
- You need GPU compute for Training
- You need GPU compute for Inference
- Lower price is your top priority (from $0.20/h vs from $1.49/h)
- Higher user satisfaction matters (4.6 vs 4.4)
- 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