---
title: "专属 GPU 加强执行 AI、机器学习、游戏在云伺服器的运算性能 | LayerStack"
description: "透过使用专属 GPU，助云服务器加速执行游戏，AI，机器学习，科学运算和 3D 视觉化作业等工作负载，从而提供高效，可预测，可管理和可扩展的云端体验。"
image: "https://layerstack.com/img/LSlogo.png"
---

简体中文

- [English](https://www.layerstack.com/en/dedicated-gpu)
- [繁體中文](https://www.layerstack.com/zh-hk/dedicated-gpu)
- [简体中文](https://www.layerstack.com/zh-cn/dedicated-gpu)

- ###### 货币:
- ---
- [USD](https://www.layerstack.com/zh-cn/dedicated-gpu?curr=USD)
- [HKD](https://www.layerstack.com/zh-cn/dedicated-gpu?curr=HKD)
- [SGD](https://www.layerstack.com/zh-cn/dedicated-gpu?curr=SGD)

# Dedicated GPU

## 充当云服务器的高性能加速器大幅增强平行计算及图像处理效能

专门针对平行处理，机器学习和图形密集型等应用程序。

[创建免费账户](https://cp.layerpanel.com/signup) [查看价格](https://www.layerstack.com/zh-cn/pricing#list-plan-dgpu)

![Dedicated GPU](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-dedicated-gpu-banner-graphic.svg)

## 专属 GPU 优化云端平行处理能力

极限提升云端效能

充分使用 GPU 的全部功能配合顶级 CPU 以实现超高性能云服务器，专门针对对计算机计算效能有极高度要求的工作，例如平行运算、人工智能和图形密集型项目。

**US$165.00**/月起

[创建免费账户](https://cp.layerpanel.com/signup)

![Dedicated GPU For Optimized Parallel Computation Ability](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-graphic-parallel-computation-ability.svg)

## 好处

![Save Cost](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-icon-save-cost.svg)

### **减低成本**

使用云服务器配置专属 GPU 可节省高昂的购入和维护成本，让用户可更充分的利用 IT 预算。

![Market Leading Hardware](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-icon-market-leading-hardware.svg)

### **领先市场的硬件**

使用高性能 NVIDIA® T4 GPU 运行云服务器，具备相当数量的 CUDA， Tensor and RT 核心以高速并处理计算工作。

![Image Processing Capabilities](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-icon-image-processing-capability.svg)

### **增强图像处理**

根据 GeekBench 基准测试，特选 GPU 的高斯模糊和景深性能获 102，644 及 302，959 的评分。

## 使用案例

![Video/Graphics Processing](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-graphic-video-processing.svg)

**视频及图像处理**

擅长于处理图像密集型工作，例如 2D/3D 渲染 (rendering) 和视频编码 (video encoding)。 有效输出极高分辨率影音图像，大幅减省设计人员处理多媒体档案的时间。

![Deep Learning](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-graphic-deep-learning.svg)

**深度学习**

有效将机器学习时间从几天减至几分钟，从而令研究人员和开发人员能够从深度学习中获取更快，更准确的信息。

![Parallel Processing](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-graphic-parallel-processing.svg)

**并行计算**

通过利用 GPU 数目众多的 CUDA 核心，需要高度资源的任务可以比使用传统 CPU 以快近 10 倍的速度完成。

![Gaming](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-graphic-gaming.svg)

**游戏**

在最新的电竞、VR/AR 或 3A 级游戏中有极其出色的表现。 支持高性能需求的游戏为玩家提供最佳质量和最流畅的游戏体验。

[创建免费账户](https://cp.layerpanel.com/signup)

## 规格

![Technical Specifications](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-graphic-technical-specification.svg)

## 专属 GPU 方案

![Dedicated Physical Cores](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-icon-premium-compute.svg)

**Premium Compute**

PRO200-HK/ PRO300-HK/PRO600-HK

为专业用家而设计的终极云解决方案，最先进的 CPU 效能，应对要求极高的项目。

[![AMD EPYC Milan](https://www.layerstack.com/assets/img/hardware/layerstack-icon-amd-epyc-milan.svg)](https://www.layerstack.com/zh-cn/amd) [![NVMe SSD](https://www.layerstack.com/assets/img/hardware/layerstack-icon-nvme-ssd-pcie-gen4.svg)](https://www.layerstack.com/zh-cn/nvme) [![Dedicate GPU](https://www.layerstack.com/assets/img/hardware/layerstack-icon-gpu.svg)](https://www.layerstack.com/zh-cn/dedicated-gpu)

[查看价格](https://www.layerstack.com/zh-cn/pricing#list-plan-dgpu)

![Dedicated Physical Cores](https://www.layerstack.com/assets/img/dedicated-gpu/layerstack-icon-dedicated-cloud.svg)

**Dedicated Cloud**

Dedicated Hardware

用户独享专用硬件配置，无须跟其他用户共享资源。

CPU 型号选项

[![amd epyc cpu](https://www.layerstack.com/assets/img/hardware/layerstack-icon-amd-epyc-milan.svg)](https://www.layerstack.com/zh-cn/amd) [![intel xeon](https://www.layerstack.com/assets/img/hardware/layerstack-icon-intel-xeon.svg)](https://ark.intel.com/content/www/us/en/ark/products/212261/intel-xeon-e2378-processor-16m-cache-2-60-ghz.html)

存储选项

[![NVMe SSD](https://www.layerstack.com/assets/img/hardware/layerstack-icon-nvme-ssd-pcie-gen4.svg)](https://www.layerstack.com/zh-cn/nvme) ![SSD](https://www.layerstack.com/assets/img/hardware/layerstack-icon-ssd.svg) ![SAS](https://www.layerstack.com/assets/img/hardware/layerstack-icon-sas.svg)

云端运算环境

![Dedicated Hardware](https://www.layerstack.com/assets/img/hardware/layerstack-icon-physical-hardware.svg) ![Dedicate GPU](https://www.layerstack.com/assets/img/hardware/layerstack-icon-gpu.svg)

[查看价格](https://www.layerstack.com/zh-cn/pricing#list-plan-dgpu)

## 相关信息

![Product Docs](https://www.layerstack.com/assets/img/global-private-network/layerstack-icon-product-doc.svg) **产品文件**

[Dedicated GPU Overview 最后更新 01/02/2021](https://www.layerstack.com/resources/docs/Dedicated_GPU)

![Tutorial](https://www.layerstack.com/assets/img/global-private-network/layerstack-icon-tutorial.svg) **技术教程**

[How to install GPU Drivers on Linux Cloud Servers 最后更新 02/02/2021](https://www.layerstack.com/resources/tutorials/How-to-install-GPU-Drivers-on-Linux-Cloud-Servers)

[How to install GPU Drivers on Windows Cloud Servers 最后更新 02/02/2021](https://www.layerstack.com/resources/tutorials/How-to-install-GPU-Drivers-on-Windows-Cloud-Servers)

![Blog Post](https://www.layerstack.com/assets/img/global-private-network/layerstack-icon-blog-post.svg) **官方网志**

[Dedicated GPU For Cloud Servers 最后更新 01/02/2021](https://www.layerstack.com/blog/dedicated-gpu-for-cloud-servers/)

[How does NVIDIA’s GPU Power Up LayerStack’s Cloud Server Services? 最后更新 05/03/2021](https://www.layerstack.com/blog/nvidias-gpu-powers-up-layerstacks-cloud-server-services/)

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