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

Scenarios

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마지막 업데이트 시간: 2026-01-16 16:57:51
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.

AI Training

The GN10Xp and GT4 GPU computing instances are equipped with V100 and A100 GPUs, respectively. They feature powerful double-precision floating-point computing capabilities and 300–600 GB/s NVLink bandwidth, making them ideal for large-scale AI training acceleration.

AI Inference

The PNV4 and GN7 GPU computing instances are equipped with A10 and T4 GPUs, respectively. They provide high performance-per-watt single-precision floating-point computing capabilities, making them widely used in online and offline inference scenarios.

Scientific Computing

The GN10Xp and GT4 GPU computing instances are equipped with V100 and A100 GPUs, respectively. They feature large video memory, high computing power, and low-latency interconnects between cards, providing large-scale parallel computing capabilities for scientific computing scenarios such as computational fluid dynamics (CFD) , seismic analysis, and genomics.

Cloud Gaming (GS)

The GNV4v and GN7vw GPU rendering instances are equipped with NVIDIA A10 and T4 GPUs, respectively, and feature GRID drivers optimized for cloud gaming. They support 1/2 and 1/4 GPU slicing, aimed at optimizing the graphics cost for single-stream games while ensuring high image quality and low latency.
The GA3 instance features the Tencent Cloud Star Lake GA01 and offers fine-grained 1/6 slicing. Specifically designed for cloud gaming, it provides a highly cost-effective solution for the industry.

Cloud Rendering

The GNV4 and GN7vw GPU rendering instances are equipped with A10 and T4 GPUs, respectively. Featuring GRID drivers optimized for rendering scenarios, they enable rapid image and video rendering, improving online and offline rendering efficiency for industries such as film, animation, and industrial design.

Video Encoding and Decoding

The video-enhanced GN7vi instances, powered by T4 GPUs, are equipped with Tencent’s self-developed Media Video Fusion AI technology, featuring a TSC codec engine along with a quality enhancement toolkit. These instances are ideal for video-on-demand (VOD) and live streaming scenarios.


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