---
title: "高效能 GPU 加快執行 AI、機器學習、遊戲在雲端主機的運算速度 | LayerStack"
description: "透過使用高效能 GPU，助雲端主機加速執行遊戲、AI、機器學習、科學運算和 3D 視覺化作業等工作負載，從而提供高性能、可預測、可管理和可擴展的雲端體驗。"
image: "https://layerstack.com/img/LSlogo.png"
---

[English](https://www.layerstack.com/en/)

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

# Dedicated GPU

## 充當雲端主機的高性能加速器大幅增強平行計算及圖像處理效能

專門針對平行處理，機器學習和圖形密集型等應用程序。

[建立免費帳戶](https://cp.layerpanel.com/signup) [查看價格](https://www.layerstack.com/zh-tw/pricing#list-plan-dgpu)

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

## 專屬 GPU 優化雲端平行處理能力

極限提升雲端效能

充分使用 GPU 的全部功能配合頂級 CPU 以實現超高性能雲端主機，專門針對對電腦計算效能有極高度要求的工作，例如平行運算、人工智能和圖形密集型項目。

**US$165.00**/月起

[建立免費帳戶](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)

## 好處

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

### **減低成本**

使用雲端主機配置專屬 GPU 可節省高昂的購入和維護成本，讓用戶可更充分的利用 IT 預算。

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

### **領先市場的硬件**

使用高效能 NVIDIA® T4 GPU 運行雲端主機，具備相當數量的 CUDA, Tensor and RT 核心以高速平行處理計算工作。

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

### **增強圖像處理**

根據 GeekBench 基準測試，特選 GPU 的高斯模糊和景深性能獲 102,644 及 302,959 的評分。

## 使用案例

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

**視頻及圖像處理**

擅長於處理圖像密集型工作，例如 2D/3D 渲染 (rendering) 和視頻編碼 (video encoding)。有效輸出極高解析度影音圖像，大幅減省設計人員處理多媒體檔案的時間。

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

**深度學習**

有效將機器學習時間從幾天減至幾分鐘，從而令研究人員和開發人員能夠從深度學習中獲取更快，更準確的信息。

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

**平行計算**

通過利用 GPU 數目眾多的 CUDA 核心，需要高度資源的任務可以比使用傳統 CPU 以快近 10 倍的速度完成。

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

**遊戲**

在最新的電競、VR/AR 或 3A 級遊戲中有極其出色的表現。支援高效能需求的遊戲為玩家提供最佳質量和最流暢的遊戲體驗。

[建立免費帳戶](https://cp.layerpanel.com/signup)

## 規格

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

## 專屬 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

為專業用家而設計的終極雲解決方案，最先進的 CPU 效能，應對要求極高的專案。

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

[查看價格](https://www.layerstack.com/zh-tw/pricing#list-plan-dgpu)

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

**Dedicated Cloud**

Dedicated Hardware

用戶獨享專用硬件配置，無須跟其他用戶共用資源。

CPU 型號選項

[![amd epyc cpu](https://www.layerstack.com/assets/img/hardware/layerstack-icon-amd-epyc-milan.svg)](https://www.layerstack.com/zh-tw/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)

存儲選項

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

雲端運算環境

![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)

[查看價格](https://www.layerstack.com/zh-tw/pricing#list-plan-dgpu)

## 相關資訊

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

[Dedicated GPU Overview 最後更新 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) **技術教程**

[How to install GPU Drivers on Linux Cloud Servers 最後更新 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 最後更新 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) **官方網誌**

[Dedicated GPU For Cloud Servers 最後更新 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? 最後更新 05/03/2021](https://www.layerstack.com/blog/nvidias-gpu-powers-up-layerstacks-cloud-server-services/)

聯系我們的專家

立即與我們的雲專家交談，瞭解 LayerStack 如何為您的公司釋放真正的價值。

線上對話[線上對話](https://lc.chat/now/8694281/)

本網站使用 cookies 確保您能得到最佳網站體驗。 [\[了解\]](https://www.layerstack.com/zh-tw/dedicated-gpu#)

#### 公司介紹

- [關於我們](https://www.layerstack.com/zh-tw/overview)
- [公司架構](https://www.layerstack.com/zh-tw/infrastructure)
- [官方網誌](https://www.layerstack.com/blog/)
- [新聞中心](https://www.layerstack.com/zh-tw/press-center)
- [服務條款](https://www.layerstack.com/zh-tw/legal)

#### 產品

- [Cloud Server](https://www.layerstack.com/zh-tw/cloud-servers)
- [Nano Cloud GPU](https://www.layerstack.com/zh-tw/cloud-gpu)
- [Dedicated Cloud](https://www.layerstack.com/zh-tw/dedicated-cloud)
- [Object Storage](https://www.layerstack.com/zh-tw/object-storage)
- [Global Private Network](https://www.layerstack.com/zh-tw/private-networking)
- [China Direct CN2 Route](https://www.layerstack.com/zh-tw/china-direct-route)
- [DDoS Protection](https://www.layerstack.com/zh-tw/ddos-protection)
- [Cloud Server 管理服務](https://www.layerstack.com/zh-tw/cloud-server-managed-service)
- [Managed Database](https://www.layerstack.com/zh-tw/managed-database)

#### 功能

- [雲控制面板](https://www.layerstack.com/zh-tw/layerpanel)
- [Backup](https://www.layerstack.com/zh-tw/backups)
- [Firewall](https://www.layerstack.com/zh-tw/firewalls)
- [LayerStack API](https://www.layerstack.com/zh-tw/api-management)
- [Templates](https://www.layerstack.com/zh-tw/templates)
- [用戶權限管理](https://www.layerstack.com/zh-tw/user-permission-management)
- [Dedicated Bandwidth](https://www.layerstack.com/zh-tw/pricing#list-plan-bandwidth)
- [Microsoft 遠端桌面伺服器授權(CALs)](https://layerpanel.cloud/cart.php?gid=40&currency=2&language=Traditional-chinese&billingcycle=annually)
- [Microsoft SQL Server](https://layerpanel.cloud/cart.php?gid=39&currency=2&language=Traditional-chinese&billingcycle=annually)
- [SSL 證書](https://layerpanel.cloud/cart.php?gid=31&currency=2&language=Traditional-chinese&billingcycle=annually)
- [AMD EPYC™](https://www.layerstack.com/zh-tw/amd)
- [效能基准测试](https://www.layerstack.com/zh-tw/benchmarks)
- [NVMe SSD](https://www.layerstack.com/zh-tw/nvme)
- [速度測試](https://hk03.layerstack.com/)

#### 計劃

- [合作夥伴計劃](https://www.layerstack.com/zh-tw/partners)
- [推廣優惠](https://www.layerstack.com/zh-tw/promotion)

#### 資源

- [銷售及產品支援](https://www.layerstack.com/zh-tw/contact-us)
- [幫助中心](https://www.layerstack.com/resources/)
- [系統狀態](https://status.layerstack.com/)
- [技術支援](https://service.layerstack.com/)
- [報告濫用行為](https://www.layerstack.com/zh-tw/report-abuse)
- [遷移到 LayerStack](https://www.layerstack.com/zh-tw/migration)
- [上載付款通知書](https://www.layerstack.com/zh-tw/upload-payment-advice)

已部署超過 **200,000** 部雲端主機

版權所有 © 2026 LayerStack Limited

```json
{"@context":"http://schema.org","@type":"Organization","name":"LayerStack","logo":"https://layerstack.com/img/layerstack-logo.png","address":{"@type":"PostalAddress","addressCountry":"Hong Kong"},"url":"https://layerstack.com/","sameAs":["https://www.facebook.com/LayerStack2/","https://plus.google.com/106977403049677716382","https://twitter.com/LayerStackCloud","https://www.linkedin.com/company/layerstack"],"description":"透過使用高效能 GPU，助雲端主機加速執行遊戲、AI、機器學習、科學運算和 3D 視覺化作業等工作負載，從而提供高性能、可預測、可管理和可擴展的雲端體驗。"}
```