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TensorDock

Affordable and scalable cloud GPU solutions for AI development, machine learning, 3D rendering, and cloud gaming.

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About TensorDock

TensorDock provides cost-effective cloud GPU servers optimized for AI research, machine learning, rendering, and gaming applications. It features enterprise-grade hardware supporting popular frameworks like TensorFlow and PyTorch. Users can start using GPU servers from just $5. Operating as a marketplace, TensorDock connects customers with trusted hosts to ensure high uptime, reliable performance, and a broad selection of GPUs, including RTX 4090 and HGX H100 SXM5. Full OS control is available through KVM virtualization, offering flexibility for diverse workloads.

How to Use

Deploy GPU or CPU servers effortlessly via TensorDock's intuitive dashboard. Select your preferred GPU model, customize your instance, and launch within seconds. Sign in to manage your virtual machines. Billing is pay-as-you-go, with charges deducted automatically as your server runs.

Features

Extensive selection of GPUs for various workloads

KVM virtualization for full control

Global network of reliable GPU servers

API integration for automation

Flexible pay-as-you-go pricing

Cost-effective GPU hosting solutions

Use Cases

3D rendering and animation production

Scientific research and high-performance computing

Video and image rendering workflows

Cloud gaming experiences

AI art and creative generation

Training and deploying machine learning models

Best For

AI researchersScientific computing expertsAI startups and developersData scientistsMachine learning engineersDigital artists and rendering professionalsCloud gaming enthusiasts

Pros

Over 100 global locations for deployment

Lower costs compared to traditional cloud providers

Root access with dedicated GPU resources

Wide range of GPU options for diverse needs

No quotas, hidden fees, or price gouging

Simple deployment and management of GPU servers

Cons

Servers are automatically terminated when balance hits zero

Pricing varies depending on independent host providers

User authentication required for server deployment

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

H100 SXM5

Starting at $2.25 per hour

Ideal for intensive AI training and inference tasks without compromise.

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A100 SXM4

Starting at $1.80 per hour

Optimal balance of performance and cost for AI inference.

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RTX 4090

Starting at $0.35 per hour

Excellent value for gaming, rendering, and image processing.

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Frequently Asked Questions

Find answers to common questions about TensorDock

How is customer data secured on TensorDock?

Our hardware is hosted in certified data centers with strong security measures. We revoke SSH access from hosts to prevent unauthorized data access, and monitor host activity for suspicious behavior to ensure data safety.

How does billing work on TensorDock?

We operate on a pay-as-you-go basis. Funds are deposited upfront, and usage is deducted automatically as servers run. Servers are deleted when your balance reaches zero. For long-term use, contact us for reserved pricing options.

Why do GPU and CPU prices vary?

Prices differ because our platform hosts independent providers who set their own rates. This competition ensures you get the best market prices, with options based on location and redundancy preferences.

Can I control my GPU servers remotely?

Yes, you have full control through KVM virtualization, allowing you to install and manage your operating system and software just like on a dedicated server.

What types of workloads are suitable for TensorDock?

TensorDock is ideal for AI development, machine learning training, scientific computing, rendering, and cloud gaming, offering flexible resources for diverse high-performance tasks.