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Introduction

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Introduction

2026. 07. 30.35047회 조회

Important Notice: Cryptocurrency mining is strictly prohibited. Accounts will be suspended without exception upon detection.


👉 The goal of WebCal is to provide users with stable, reliable, and reasonably priced GPU computing power, ensuring that GPUs are no longer a roadblock on your path to becoming a data scientist.

👉Must-Read Documentation:

  1. Quick Start
  2. Instance Data Retention Guidelines
  3. Start the daemon

👉Frequently Used Documentation:

  1. How to Choose a GPU
  2. Upload Data
  3. Download Data
  4. Set Up Your Environment
  5. Public Cloud Storage (Highly Recommended)
  6. VSCode
  7. PyCharm
다음 글CUDA/cuDNN
Compute Rental 문서가이드(으)로 돌아가기
가이드
통합
FAQ
지원
가격
블로그
빠른 시작
Top-Up and Billing
Accelerating Access to Academic Resources
Quick Start
Introduction
Maintenance and Troubleshooting
Network
플랫폼
JetBrain Projector
Tmp
WebCal Scholars Program @2026
Introduction to the Public Beta/Suqian Zone A
About Us
Copying Data Between Instances
Analysis of Server Performance Metrics
Tidal Computing Power
Load Balancing
중국산 칩
Using Huawei MindIE
Huawei Ascend NPU
MooreThread GPU
환경 설정
CUDA/cuDNN
Miniconda
Python3.X
Installing Dependencies
Overview
Images
엔터프라이즈 기능
Flexible Deployment
Elastic Deployment Release Notes
Best Practices for Elastic Deployment
Performance Metrics Monitoring
컨테이너 인스턴스
JupyterLab
Remote SSH Connection
Save the image
Scaling Configuration
Multi-machine, multi-GPU parallel processing
Daemon
Overview
Change the billing method
Migration Example (Same Region)
Migration Examples
Remote Desktop
Reset the system
GPU 선택
GPU Selection
Performance Testing
데이터
Upload Data
Download Data
Public Data
Public Cloud Storage (Highly Recommended)
Compression / Decompression
File Storage
Local data disk
Overview
모범 사례
FileZilla
Git
Gromacs
HuggingFace
KataGo
Linux Basics
MPI
OpenCL
PyCharm Remote Development
R (RStudio) Installation
SSH Tunnel
TensorBoard
Remote Development with VSCode
Visdom
Vulkan
XShell
Open Ports
WeChat Messages
Performance
Expose multiple services
Money-Saving Tips
Computation Precision Issues
Software Sources