GPU cloud comparison · 2026
Lyceum vs Together AI
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
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
Lyceum
Together AI
Starting Price Lower hourly rate
from $0.39/h
from $1.49/h
Overall Rating User rating
4.2 / 5
4.4 / 5
GPU Types Variety
4 types
4 types
Max VRAM Largest available
141 GB
141 GB
Locations Regions covered
EU, Iceland
US, EU
Wins out of 5
4
1
GPU Availability
Lyceum
A100 80GBH100H200L40S
VRAM: 48–141 GB · Locations: EU, Iceland
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, EU
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
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 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
- Lower price is your top priority (from $0.39/h vs from $1.49/h)
- You want more GPU variety (4 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
- Higher user satisfaction matters (4.4 vs 4.2)