Hexabyte vs Paperspace: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hexabyte and Paperspace. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Hexabyte is a cloud provider offering VPS and object storage with no egress fees, making it a cost-effective option for teams that need compute and storage without the bandwidth costs that inflate bills on major cloud providers. While primarily a VPS and storage provider, Hexabyte's no-egress-fee model makes it attractive for data-intensive AI workloads that require frequent data transfer between compute and storage.
- No egress fees on VPS and object storage
- Cost-effective for data-intensive workloads
- Simple pricing model
- European infrastructure
- Limited GPU catalog — primarily VPS and storage
- Smaller provider with limited scale
- Less mature ecosystem vs major providers
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Paperspace (now part of DigitalOcean) offers A100, H100, A6000, A5000, A4000, and RTX 5000 GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. Monthly dedicated options available. Gradient plans include a Free tier through paid tiers. A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience, now integrated into the DigitalOcean ecosystem.
- Gradient managed ML platform with Jupyter notebooks
- Simple UI and beginner-friendly onboarding
- H100 on-demand availability
- Free tier available for beginners
- DigitalOcean ecosystem integration
- Acquired by DigitalOcean — Gradient product direction uncertain
- Limited GPU catalog vs specialist providers
- Notebook-centric UX not ideal for production pipelines
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Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
Hexabyte
VPS and object storage with no egress fees
Paperspace
ML platform with Gradient notebooks and GPU instances — now part of DigitalOcean