GPU cloud comparison · 2026
Lyceum vs Salad
Lyceum wins on 4 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Lyceum
EU-sovereign AI cloud — H100 to H200 with full data residency
from $0.39/h
★★★★☆ 4.2 / 5 (89 reviews)
Try Lyceum →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
Lyceum
Salad
Starting Price Lower hourly rate
from $0.39/h
from $0.03/h
Overall Rating User rating
4.2 / 5
3.9 / 5
GPU Types Variety
4 types
4 types
Max VRAM Largest available
141 GB
24 GB
Locations Regions covered
EU, Iceland
Global (distributed)
Wins out of 5
4
1
GPU Availability
Lyceum
A100 80GBH100H200L40S
VRAM: 48–141 GB · Locations: EU, Iceland
Salad
RTX 3090RTX 4090RTX 3080RTX 3070
VRAM: 8–24 GB · Locations: Global (distributed)
Pros & Cons
Lyceum
Pros
- Strong EU data residency (no US transit)
- H200 availability in Europe
- ISO 27001 + SOC 2 certifications
- European billing and contracts
Cons
- Smaller capacity than US-based clouds
- Higher base price than RunPod / Vast.ai
- Limited GPU variety beyond Nvidia
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 Lyceum if…
- You need GPU compute for EU-regulated industries
- You need GPU compute for GDPR-strict workloads
- You need GPU compute for European public sector
- You need GPU compute for Health and finance AI
- Higher user satisfaction matters (4.2 vs 3.9)
- You want more GPU variety (4 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 $0.39/h)