GPU cloud comparison · 2026
Massed Compute vs Salad
Massed Compute wins on 4 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Massed Compute
Workstation-grade GPUs for AI/ML/VFX — A100 from $1.79/h
from $0.35/h
★★★★☆ 4.1 / 5 (156 reviews)
Try Massed Compute →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
Massed Compute
Salad
Starting Price Lower hourly rate
from $0.35/h
from $0.03/h
Overall Rating User rating
4.1 / 5
3.9 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
24 GB
Locations Regions covered
US
Global (distributed)
Wins out of 5
4
1
GPU Availability
Massed Compute
RTX A6000A40A100 80GBH100RTX 6000 Ada
VRAM: 48–80 GB · Locations: US
Salad
RTX 3090RTX 4090RTX 3080RTX 3070
VRAM: 8–24 GB · Locations: Global (distributed)
Pros & Cons
Massed Compute
Pros
- Strong A6000 / A40 lineup at moderate price
- Pre-built VFX and AI templates
- RDP/VNC for visual workflows
- Per-second billing
Cons
- US-only datacenters
- No serverless inference
- Smaller community than RunPod
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 Massed Compute if…
- You need GPU compute for VFX and 3D rendering
- You need GPU compute for Stable Diffusion fine-tuning
- You need GPU compute for Workstation-style AI dev
- You need GPU compute for Multi-tenant studios
- Higher user satisfaction matters (4.1 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 $0.35/h)