GPU cloud comparison · 2026
Lambda Labs vs Together AI
Lambda Labs wins on 4 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
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
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
Lambda Labs
Together AI
Starting Price Lower hourly rate
from $1.10/h
from $1.49/h
Overall Rating User rating
4.5 / 5
4.4 / 5
GPU Types Variety
4 types
4 types
Max VRAM Largest available
80 GB
141 GB
Locations Regions covered
US, AU
US, EU
Wins out of 5
4
1
GPU Availability
Lambda Labs
A100 40GBA100 80GBH100A10
VRAM: 24–80 GB · Locations: US, AU
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, 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
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 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 $1.49/h)
- Higher user satisfaction matters (4.5 vs 4.4)
- 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