Leafcloud vs TensorDock: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Leafcloud and TensorDock. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

Leafcloud

TensorDock

Provider type

Specialist

Marketplace

Founded

2019

2021

Headquarters

Amsterdam, Netherlands

Boston, MA

Billing model

On-demand

Per-second on-demand, Spot, Reserved

Min commitment

None

None (minimum deposit required — check tensordock.com)

Support tier

Standard

Community → Pro

Regions

2 regions

4 regions

Strengths & Best For

Leafcloud

Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.

Strengths

Waste heat reuse
Sustainable compute
GDPR compliant
Dutch presence

Weaknesses

Very small GPU catalog
Limited to European regions
Not ML-focused — limited AI tooling

Best For

Sustainability-focused teamsEuropean AI workloadsGDPR-sensitive data

Visit Leafcloud

Leafcloud Rating

No reviews yet — add yours ↗

TensorDock

TensorDock is a GPU cloud marketplace connecting users with independent hosts across 100+ global locations. 45+ GPU models from consumer RTX cards to HGX H100 SXM5, including H100 SXM5, A100 SXM4, and RTX 4090. Pay-per-second billing with no minimum commitments, no waitlists, and no quotas. Hosts compete on price, keeping rates among the lowest available. KVM virtualization with root access and dedicated GPUs. Windows 10 support. Voltage Park (merged with Lightning AI) is a TensorDock partner. Customers include Florida State University, airgpu, ELBO, and Creavite.

Strengths

H100 SXM — competitive H100 pricing
A100 SXM and RTX 4090 at competitive marketplace rates
Pay-per-second billing with no minimum commitment
45+ GPU models from consumer to H100
100+ global locations across 20+ countries
No waitlists or quotas — low minimum deposit to start

Weaknesses

Marketplace model — hardware quality varies by host
No enterprise SLAs or uptime guarantees
Limited support for complex distributed training

Best For

Budget AI training and fine-tuningBatch inference workloadsTeams needing wide GPU varietyResearchers avoiding waitlistsCost-sensitive multi-region deployments

Visit TensorDock

TensorDock Rating

No reviews yet — add yours ↗