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Vast.ai vs TensorDock: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Vast.ai and TensorDock. Updated July 2026.

Provider Overview

Provider type
Marketplace
Specialist
Founded
2017
2020
Headquarters
San Francisco, CA
Boston, MA
Billing model
On-demand, Spot (bid-based)
On-demand, Spot
Min commitment
None
None
Support tier
Community → Pro
Community → Pro
Regions
4 regions
4 regions

Strengths & Best For

Vast.ai

Vast.ai is a peer-to-peer GPU marketplace listing 10,000+ GPUs — including H100, A100, and RTX 4090 — from hosts worldwide, consistently offering some of the lowest spot GPU rental prices available anywhere. Both on-demand and bid-based spot pricing are available, enabling researchers and developers to run LLM fine-tuning, image generation, and batch AI workloads at a fraction of traditional cloud costs. The largest and most price-competitive GPU marketplace for budget-conscious AI teams.

Strengths
  • Lowest spot prices
  • Wide GPU variety
  • Bid-based pricing
  • Large host network
Best For
Budget-conscious developersSpot-tolerant batch jobsResearchers needing cheap GPUs
Visit Vast.ai
TensorDock

TensorDock offers H100, A100, RTX 4090, and RTX 3090 GPU instances across a distributed network of data centers at some of the most competitive on-demand and spot GPU rental prices available. Both on-demand and spot options are available, making it a popular budget AI training platform for cost-sensitive teams and researchers. A practical choice for LLM fine-tuning and batch inference workloads where price-per-GPU-hour is the primary concern.

Strengths
  • Very low prices
  • Wide GPU variety
  • Spot instances
  • Global locations
Best For
Budget ML trainingBatch inferenceCost-sensitive teams
Visit TensorDock

Live GPU Pricing

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Region Coverage

Vast.ai4 regions
USEUAPACVarious

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