TensorDock

TensorDock provides affordable cloud GPUs for machine learning, AI, and rendering, offering a global fleet of GPU servers. Users can deploy a GPU in 30 seconds with industry-leading pricing.

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At a glance

Pricing

Usage-based

Free tier

API

Yes

Skill level

Technical

About

What is TensorDock?

TensorDock offers an affordable and easy-to-use cloud GPU infrastructure designed for machine learning, AI, rendering, and cloud gaming. It provides access to a global fleet of GPU servers, including high-end models like NVIDIA H100 and A100, as well as consumer GPUs like RTX 4090, at significantly lower costs than traditional cloud providers. The platform emphasizes on-demand access with no quotas or commitments, allowing users to deploy a server in just 30 seconds. TensorDock also provides CPU cloud services for scientific computing and HPC workloads, root access with KVM virtualization, and a robust API for server management. It caters to a wide range of needs, from individual researchers to AI startups, ensuring secure and reliable enterprise-grade hardware.

Best used for

Ideal for developers and machine learning engineers who need to train AI models, render complex animations, and run high-performance computing tasks. Especially valuable for those seeking cost-effective, on-demand GPU and CPU resources without long-term commitments or hidden fees.

Common actions

deploy cloud GPUs

train machine learning models

render animations

run HPC workloads

manage virtual machines

Capabilities

Key features

On-demand cloud GPUs
Wide GPU selection
KVM virtualization
Root access
CPU cloud services
Comprehensive API
Global server fleet

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Usage-based

Not publicly disclosed. Check tensordock.com for current pricing.

FAQs

How does TensorDock's pricing work?

TensorDock operates on a pay-as-you-go model. Users deposit funds, and the balance is continuously deducted as servers are deployed. When the balance reaches $0, servers are automatically deleted. Reserved pricing is available for long-term rentals upon request.

Why do GPU/CPU prices vary on TensorDock?

TensorDock is a marketplace of independent hosts who set their own pricing, fostering competition for the best rates. Price variations also reflect differences in host locations, redundancy, and hardware configurations, offering customers options based on their preferences and budget.

What security measures does TensorDock implement for customer data?

Most hardware is hosted in certified data centers. TensorDock enhances security by revoking SSH access from hosts, preventing unauthorized data access. An agent monitors hostnodes for logins and suspicious activity, ensuring a secure environment for customer data.

What types of GPUs are available on TensorDock?

TensorDock offers a wide selection of GPUs, ranging from enterprise-grade NVIDIA H100 and A100 SXM models for demanding AI workloads to consumer GPUs like RTX 4090 for gaming, image processing, and rendering. Over 45 different GPU models are available.

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