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TensorDock

3.2
💬1
💲Paid

TensorDock is an affordable cloud GPU platform designed for developers, researchers, and creators working in AI, machine learning, rendering, and cloud gaming. With support for TensorFlow and PyTorch, it allows users to deploy GPU servers quickly and efficiently. The platform connects users to vetted hosts and offers a variety of GPU options, including the RTX 4090 and H100 SXM5, all backed by KVM virtualization and pay-as-you-go pricing.

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Platform
web
AICloud GPUCloud gamingDeep learningGPU serverHPCKVM virtualization

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.

Core Technologies

  • Cloud GPU
  • KVM Virtualization
  • TensorFlow
  • PyTorch

Key Capabilities

  • Deploy GPU servers affordably
  • Support for AI and deep learning frameworks
  • Wide range of GPU models available
  • Global fleet of GPU servers
  • Pay-as-you-go billing model
  • Root access and dedicated GPUs

Use Cases

  • Training machine learning models
  • Rendering animations and visual effects
  • Running cloud-based games
  • Scientific computing and HPC tasks
  • AI art generation
  • Logo animation rendering

Core Benefits

  • Cost-effective compared to other cloud providers
  • Easy deployment and management of GPU servers
  • Access to a wide range of GPU models
  • Global availability with 100+ locations
  • No hidden fees or quotas
  • Dedicated GPUs with root access

Key Features

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

How to Use

  1. 1
    Sign in to the TensorDock dashboard
  2. 2
    Select a GPU model and configure your instance
  3. 3
    Deploy the server in seconds
  4. 4
    Manage your server using the provided tools
  5. 5
    Monitor usage and billing in real-time

Pricing Plans

H100 SXM5

From $2.25/hr
For builders needing training and inference with no compromises.

A100 SXM4

From $1.80/hr
The best balance between price and performance for AI inference.

RTX 4090

From $0.35/hr
Truly unbeatable value for gaming, image processing, and rendering.

Frequently Asked Questions

Q.How do you guarantee the security of customer data?

A.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.

Q.How does billing work?

A.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.

Q.Why does the same GPU/CPU have multiple prices?

A.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.

Pros & Cons (Reserved)

✓ Pros

  • Cost-effective compared to other cloud providers
  • Easy to deploy and manage GPU servers
  • Wide selection of GPUs to fit various needs
  • Global availability with 100+ locations
  • No quotas, hidden fees, or price gouging
  • Root access and dedicated GPUs

✗ Cons

  • Requires user authentication to deploy instances
  • Pricing can vary based on independent hosts
  • Servers are automatically deleted when balance reaches $0

Alternatives

No alternatives found.