Independent comparison Updated April 2026 20 GPU providers tested Real hourly pricing

GPU cloud comparison · 2026

J

Jarvis Labs vs TensorDock

T

TensorDock wins on 3 of 5 key metrics — but the right choice depends on your workload.

J
Jarvis Labs
On-demand H100 / A100 / RTX 6000 Ada from $0.39/h
from $0.39/h
★★★★☆ 4.3 / 5 (312 reviews)
Try Jarvis Labs →
VS
Overall Winner
T
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 →

Head-to-Head Comparison

J Jarvis Labs
T TensorDock
Starting Price Lower hourly rate
from $0.39/h
from $0.21/h
Overall Rating User rating
4.3 / 5
4.2 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, Asia
US, EU, Global
Wins out of 5
2
3

GPU Availability

J Jarvis Labs
RTX 6000 AdaA100 40GBA100 80GBH100

VRAM: 48–80 GB · Locations: US, Asia

T TensorDock
RTX 4090RTX 3090A100 80GBH100L40S

VRAM: 24–80 GB · Locations: US, EU, Global

Pros & Cons

J Jarvis Labs
Pros
  • Excellent pricing for H100
  • RTX 6000 Ada — 48GB at moderate cost
  • Polished UI for non-DevOps users
  • Quick spinup, low friction
Cons
  • Smaller GPU variety than RunPod
  • No serverless / autoscaling
  • Limited European presence
T 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

Which Should You Choose?

J Choose Jarvis Labs if…
  • You need GPU compute for Researchers and indie developers
  • You need GPU compute for Llama fine-tuning
  • You need GPU compute for Stable Diffusion training
  • You need GPU compute for Jupyter notebook users
  • Higher user satisfaction matters (4.3 vs 4.2)
T 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 $0.39/h)
  • You want more GPU variety (5 vs 4 types)