tencent cloud

Cloud GPU Service

Release Notes and Announcements
Release Notes
Announcements
Product Introduction
Overview
Strengths
Scenarios
Notes
Instance Types
Computing Instance
Rendering Instance
Billing
Billing Overview
Renewal
Getting Started
User Guide
Logging In to Instances
Restarting Instances
Installing NVIDIA Driver
Uninstalling NVIDIA Driver
Upgrading NVIDIA Driver
Using GPU Monitoring and Alarm
Use Cases
Installing NVIDIA Container Toolkit on a Linux Cloud GPU Service
Using Windows Cloud GPU Service to build a Deep Learning Environment
Implementing Image Quality Enhancement with GN7vi Instances
Using Docker to Install TensorFlow and Set GPU/CPU Support
Using GPU Instance to Train ViT Model
Troubleshooting
GPU Instance Troubleshooting Guide
Troubleshooting Common Xid Errors
Collecting Log for GPU Instances
GPU Usage Shows 100%
VNC Login Failures
FAQs
Related Agreement
Special Terms for Committed Sales Model
Contact Us

Cloud GPU Service

Cloud GPU Service is an elastic computing service that provides GPU compute capability and features exceptional parallel computing power. As a key enabler at the IaaS layer, it serves scenarios such as generative AI, autonomous driving, deep learning training, scientific computing, graphics and image processing, and video encoding/decoding. Tencent Cloud offers readily available compute capability at any time, effectively alleviating your computational pressure and enhancing business efficiency and competitiveness.

Learning About Cloud GPU Service

Introduces the related concepts, use cases, billing methods, and other information of Tencent Cloud's Cloud GPU Service to help you better understand the product.

Overview

Introduces the advantages of Cloud GPU Service compared to self-built GPU servers, helping you quickly understand Cloud GPU Service.

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Scenarios

Cloud GPU Service deliver exceptional parallel computing capabilities, making it ideal for scenarios such as AI training, AI inference, scientific computing, cloud gaming, cloud rendering, and video encoding/decoding.

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Billing Modes

Cloud GPU Service offers multiple billing methods, allowing you to flexibly choose based on your business scenarios to optimize your costs.

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User Guide

Introduces how to configure and use Cloud GPU Service instances, GPU drivers, and other core capabilities, and covers daily Ops management operations to help you get started.

Instance Specifications

Cloud GPU Service provides diverse instance types to meet the needs of various business use cases. You can select the appropriate instance type based on your actual needs.

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Driver Installation

Tencent Cloud provides multiple driver installation methods, allowing you to select the appropriate driver type and installation approach based on your business scenarios.

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Monitoring and Alarms

Through the monitoring and alarm feature, you can proactively identify potential failures or security risks that may arise during the operation of Cloud GPU Service.

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Use Cases

Learn about the best practices for Cloud GPU Service to help you use Cloud GPU Service more efficiently.

Deep Learning Environment Setup

Using Windows Cloud GPU Service to set up a development environment suitable for deep learning.

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Video Quality Enhancement

Use the video encoding/decoding feature and AI quality enhancement feature of the video-enhanced instance GN7vi to complete video quality processing.

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Training the ViT Model

Using Cloud GPU Service for offline training of ViT models to accomplish simple image classification tasks.

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Help and Support

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