TensorDock
Affordable GPU cloud compute without long-term contracts
TensorDock offers GPU compute at competitive prices — H100 from $2.00/hour and A100 from $1.50/hour. Multiple US and EU datacenter locations with on-demand provisioning.
TensorDock provides spot and reserved GPU instances with per-minute billing, no setup fees, and support for CUDA, PyTorch, and TensorFlow. Differentiator: transparent pricing, 24/7 availability, and straightforward API for automated deployment. Suitable for ML training, inference, 3D rendering, and research projects requiring flexible scaling without vendor lock-in.
Pros
- Pay-per-minute billing with no monthly minimums or long-term commitments
- Access multiple GPU types (A100, RTX A6000, H100) at transparent rates
- Deploy instances in under 60 seconds via API or web dashboard
- No egress fees for data transfers between instances
Cons
- Smaller geographic footprint compared to AWS or Google Cloud
- Limited managed services ecosystem (database, monitoring integration)
- Spot availability can fluctuate during peak demand periods
Best For
Machine learning engineers and researchers who need cost-effective, flexible GPU access for training and inference without enterprise support requirements.
Pricing
Pay As You Go
- Core features included
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