GPU cloud comparison · 2026
TensorDock vs Together AI
TensorDock wins on 3 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
TensorDock
Marketplace GPU cloud — RTX 4090 from $0.21/h, H100 from $1.99/h
from $0.21/h
★★★★☆ 4.2 / 5 (167 reviews)
Try TensorDock →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
TensorDock
Together AI
Starting Price Lower hourly rate
from $0.21/h
from $1.49/h
Overall Rating User rating
4.2 / 5
4.4 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
141 GB
Locations Regions covered
US, EU, Global
US, EU
Wins out of 5
3
2
GPU Availability
TensorDock
RTX 4090RTX 3090A100 80GBH100L40S
VRAM: 24–80 GB · Locations: US, EU, Global
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, EU
Pros & Cons
TensorDock
Pros
- Among the cheapest H100 access in 2026
- Wide host network = better availability
- Per-second billing for short jobs
- Free egress saves on data-heavy workloads
Cons
- Reliability varies by host
- No managed cluster orchestration
- Support is community-led
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 TensorDock if…
- You need GPU compute for Budget GPU rentals
- You need GPU compute for Stable Diffusion fine-tuning
- You need GPU compute for Short-burst training
- You need GPU compute for Indie ML developers
- Lower price is your top priority (from $0.21/h vs from $1.49/h)
- You want more GPU variety (5 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)