GPU cloud comparison · 2026
CoreWeave vs Salad
CoreWeave wins on 3 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
CoreWeave
Enterprise H100 clusters — Kubernetes-native GPU cloud
from $2.06/h
★★★★☆ 4.4 / 5 (412 reviews)
Try CoreWeave →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
CoreWeave
Salad
Starting Price Lower hourly rate
from $2.06/h
from $0.03/h
Overall Rating User rating
4.4 / 5
3.9 / 5
GPU Types Variety
3 types
4 types
Max VRAM Largest available
80 GB
24 GB
Locations Regions covered
US, EU
Global (distributed)
Wins out of 5
3
2
GPU Availability
CoreWeave
H100 SXMA100 SXMA40
VRAM: 40–80 GB · Locations: US, EU
Salad
RTX 3090RTX 4090RTX 3080RTX 3070
VRAM: 8–24 GB · Locations: Global (distributed)
Pros & Cons
CoreWeave
Pros
- Best multi-node GPU cluster performance
- High-speed InfiniBand interconnects
- Purpose-built for AI workloads
- Strong enterprise support
Cons
- Expensive — not for hobbyists
- Requires Kubernetes knowledge
- Sales-led process for large clusters
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 CoreWeave if…
- You need GPU compute for Large-scale training
- You need GPU compute for Foundation models
- You need GPU compute for Enterprise AI
- You need GPU compute for Multi-node jobs
- Higher user satisfaction matters (4.4 vs 3.9)
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 $2.06/h)
- You want more GPU variety (4 vs 3 types)