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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.

TensorDock's Core Features

Affordable GPU servers

Wide selection of GPUs

KVM Virtualization

Pay-as-you-go billing

Global fleet of GPU servers

API access

TensorDock's Use Cases

#1 Training machine learning models

#2 Rendering animations

#3 Cloud gaming

#4 Scientific computing and HPC workloads

#5 AI art generation

#6 Logo animation rendering

TensorDock

📋Introduction

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