GPU cloud comparison · 2026
RunPod vs Salad
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
Salad
Distributed inference cloud — RTX 3090/4090 from $0.03/h
from $0.03/h
★★★★☆ 3.9 / 5 (423 reviews)
Try Salad →Head-to-Head Comparison
RunPod
Salad
Starting Price Lower hourly rate
from $0.20/h
from $0.03/h
Overall Rating User rating
4.6 / 5
3.9 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
24 GB
Locations Regions covered
US, EU, CA
Global (distributed)
Wins out of 5
4
1
GPU Availability
RunPod
RTX 3090RTX 4090A100 80GBH100A40
VRAM: 24–80 GB · Locations: US, EU, CA
Salad
RTX 3090RTX 4090RTX 3080RTX 3070
VRAM: 8–24 GB · Locations: Global (distributed)
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
Salad
Pros
- Absurdly cheap — RTX 3090 from $0.03/h
- Massive horizontal scale (1000+ nodes)
- Auto-fleet management for inference
- No data-egress charges
Cons
- Distributed = no persistent storage
- Not suitable for training
- Latency varies by node geography
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
- Higher user satisfaction matters (4.6 vs 3.9)
- You want more GPU variety (5 vs 4 types)
Choose Salad if…
- You need GPU compute for Stateless inference
- You need GPU compute for Stable Diffusion bulk generation
- You need GPU compute for Embedding generation
- You need GPU compute for Cost-sensitive batch jobs
- Lower price is your top priority (from $0.03/h vs from $0.20/h)