GPU cloud comparison · 2026
Hyperstack vs Together AI
Hyperstack wins on 3 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Hyperstack
Global GPU cloud specialist — H100, A100 80GB and L40 from $0.11/h
from $0.11/h
★★★★☆ 4.3 / 5 (198 reviews)
Try Hyperstack →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
Hyperstack
Together AI
Starting Price Lower hourly rate
from $0.11/h
from $1.49/h
Overall Rating User rating
4.3 / 5
4.4 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
141 GB
Locations Regions covered
UK, EU
US, EU
Wins out of 5
3
2
GPU Availability
Hyperstack
RTX A6000A100 80GBH100L40L40S
VRAM: 48–80 GB · Locations: UK, EU
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, EU
Pros & Cons
Hyperstack
Pros
- Outstanding entry pricing for A6000
- Full networking stack (VPC, firewall, NAT)
- UK / EU regions for European latency
- Reservation discount up to 75%
Cons
- No B200 / H200 yet (April 2026)
- Smaller marketing footprint than RunPod
- Limited template marketplace
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 Hyperstack if…
- You need GPU compute for Budget training jobs
- You need GPU compute for Stable Diffusion at scale
- You need GPU compute for VPC-isolated workloads
- You need GPU compute for EU-friendly compute
- Lower price is your top priority (from $0.11/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 4.3)