CloudGPU vs TensorDock: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

CloudGPU

TensorDock

Provider type

Specialist

Marketplace

Founded

2021

Headquarters

Boston, MA

Billing model

On-demand (per-minute)

Per-second on-demand, Spot, Reserved

Min commitment

None

None (minimum deposit required — check tensordock.com)

Support tier

Community

Community → Pro

Regions

1 regions

4 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths

Per-minute billing — pay only for what you use
Root SSH access on every instance
Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
Wide consumer and data-center GPU selection

Weaknesses

Smaller provider — limited scale vs hyperscalers
No enterprise SLAs or compliance certifications
Region information not published per instance

Best For

Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning

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CloudGPU Rating

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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

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TensorDock Rating

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Live GPU Pricing

GPU Model

CloudGPU /hr

TensorDock /hr

RTX 3090

$0.29

$0.32

V100 32GB

$0.35

$1.60

RTX 4090

$0.39

$0.55

RTX 5090

$0.69

$1.25

A100 80GB

$1.59

$1.05

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

CloudGPU — 1 regions

Global

TensorDock — 4 regions

USEUAPACVarious (100+ locations, 20+ countries)

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Provider pages

CloudGPU pricing and specs TensorDock pricing and specs

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

TensorDock

H100 SXM, A100 SXM, RTX 4090 — 45 GPU types, 100+ locations

AttributeCloudGPUTensorDock

Provider typespecialistmarketplace

Billing modelOn-demand (per-minute)Per-second on-demand, Spot, Reserved

Min commitmentNoneNone (minimum deposit required — check tensordock.com)

Regions1 (Global)4 (US, EU, APAC, +1)

Support tierCommunityCommunity → Pro

Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsBudget AI training and fine-tuning, Batch inference workloads

Founded / HQ · 2021 · Boston, MA