GPU cloud comparison · 2026
Lambda Labs vs Nebius
Nebius wins on 3 of 5 key metrics — but the right choice depends on your workload.
Lambda Labs
On-demand H100 clusters — developer-favourite for serious ML
from $1.10/h
★★★★★ 4.5 / 5 (1,872 reviews)
Try Lambda Labs →VS
Overall Winner
Nebius
EU-sovereign AI cloud from the Netherlands — full GDPR compliance, H100 to B200
from $1.55/h
★★★★★ 4.5 / 5 (287 reviews)
Try Nebius →Head-to-Head Comparison
Lambda Labs
Nebius
Starting Price Lower hourly rate
from $1.10/h
from $1.55/h
Overall Rating User rating
4.5 / 5
4.5 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
80 GB
192 GB
Locations Regions covered
US, AU
NL, FI, EU
Wins out of 5
2
3
GPU Availability
Lambda Labs
A100 40GBA100 80GBH100A10
VRAM: 24–80 GB · Locations: US, AU
Nebius
H100H200B200L40SA100 80GB
VRAM: 48–192 GB · Locations: NL, FI, EU
Pros & Cons
Lambda Labs
Pros
- Reliable on-demand H100 availability
- No complex setup — SSH ready in seconds
- Lambda Stack saves setup time
- Competitive pricing vs hyperscalers
Cons
- Limited GPU types vs RunPod
- Fewer EU datacenter options
- No serverless endpoints
Nebius
Pros
- Strong EU data residency — perfect for German / EU enterprise
- Modern hardware including B200 SXM
- Managed cluster orchestration included
- Strong customer support in European hours
Cons
- More expensive on-demand than RunPod / Vast.ai
- EU-only regions (no US datacenters)
- Smaller global presence than hyperscalers
Which Should You Choose?
Choose Lambda Labs if…
- You need GPU compute for LLM training
- You need GPU compute for Research
- You need GPU compute for Fine-tuning
- You need GPU compute for Multi-GPU jobs
- Lower price is your top priority (from $1.10/h vs from $1.55/h)
- Higher user satisfaction matters (4.5 vs 4.5)
Choose Nebius if…
- You need GPU compute for EU-sovereign AI workloads
- You need GPU compute for GDPR-bound enterprises
- You need GPU compute for Frontier model training
- You need GPU compute for European startups
- You want more GPU variety (5 vs 4 types)