Cloud GPU

TensorDock

Affordable cloud GPUs for AI, machine learning, rendering, and cloud gaming.

Source rating 5.0 (56) 61k views 61k/mo traffic 0 saves Paid
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Verdict

A quick read before you dig into the full page.

Best if
You are aI startups and need: Training machine learning models
Skip if
You need a free plan with no credit card
Pick this when
Paid · from $0.35/hr

Overview

TensorDock is a cloud GPU provider that offers affordable and easy-to-use GPU servers for machine learning, AI, rendering, and cloud gaming. It provides enterprise-grade hardware with support for TensorFlow and PyTorch, allowing users to deploy GPU servers starting from $5. TensorDock operates as a marketplace connecting customers to vetted hosts, ensuring high uptime and reliable performance. They offer a wide selection of GPUs, from RTX 4090 to HGX H100 SXM5, and provide KVM virtualization for full OS control and dedicated GPUs.

TensorDock screenshot

Best for

Short scenarios where TensorDock tends to shine.

  • Training machine learning models

    Best for AI startups

  • Rendering animations

    Best for Machine learning engineers

  • Cloud gaming

    Best for Data scientists

  • Scientific computing and HPC workloads

    Best for Researchers

  • AI art generation

    Best for Cloud gamers

  • Logo animation rendering

    Best for Rendering professionals

Example outputs 1

Sample generations and before/after results for TensorDock.

Access & connections

Where you can use TensorDock.

API

Public API available

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Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Affordable GPU servers
  • Wide selection of GPUs
  • KVM Virtualization
  • Pay-as-you-go billing
  • Global fleet of GPU servers
  • API access

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In the news

Launch coverage and community mentions for TensorDock.

FAQ 5

What is TensorDock?
TensorDock is a cloud GPU provider that offers affordable and easy-to-use GPU servers for machine learning, AI, rendering, and cloud gaming. It provides enterprise-grade hardware with support for TensorFlow and PyTorch, allowing users to deploy GPU servers starting from $5. TensorDock operates as a marketplace connecting customers to vetted hosts, ensuring high uptime and reliable performance. They offer a wide selection of GPUs, from RTX 4090 to HGX H100 SXM5, and provide KVM virtualization for full OS control and dedicated GPUs.
How to use TensorDock?
To use TensorDock, users can deploy GPU or CPU servers through their dashboard. They can select a GPU model, configure the instance, and deploy it in seconds. Users need to sign in to deploy a virtual machine. TensorDock operates on a pay-as-you-go model, deducting balance continuously after server deployment.
How do you guarantee the security of customer data?
Most hardware on our platform is now hosted in certified data centers. But as an additional layer of security, we revoke SSH access from our hosts so they cannot access customer data without our knowledge. TensorDock restricts hostnode access to only those who need it. We have an agent monitoring hostnodes for logins and suspicious activity, from any source.
How does billing work?
We operate on a pay as you go model. Users deposit funds, and we deduct balance continuously after a server is deployed. When your balance reaches $0, your servers are automatically deleted. If you need to rent servers long-term, reach out to discuss our reserved pricing.
Why does the same GPU/CPU have multiple prices?
We're a marketplace of independent hosts who compete and set their own pricing. As the customer, this ensures you always have access to the market's best pricing. Additionally, hosts have different locations and redundancy, leading to varying costs. Our marketplace offers you options to pay based on your preferences.
TensorDock from $0.35/hr