HMDLS-CUBE: Difference between revisions

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* 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시
* 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시


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== Purpose ==
== Purpose ==
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* Non-goals: 다른 주제로의 확장
* Non-goals: 다른 주제로의 확장


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== Key Concepts ==
== Key Concepts ==
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== Detailed Explanation ==
== Detailed Explanation ==
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|-
|-


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== Best Practices ==
== Best Practices ==
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* 테스트 환경에서 먼저 검증
* 테스트 환경에서 먼저 검증


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== References ==
== References ==
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* [https://wiki.hpcmate.com HMDLS-CUBE]
* [https://wiki.hpcmate.com HMDLS-CUBE]


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== Related Pages ==
== Related Pages ==
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* [[Network]]
* [[Network]]


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[[Category:Server]]
[[Category:Server]]
== Knowledge Graph ==
Related
→ [[Server]]
→ [[Hardware]]
→ [[AMD EPYC]]
→ [[NVIDIA GPU]]
→ [[Liquid Cooling]]
[[Category:Reference]]
[[Category:Reference]]

Latest revision as of 11:28, 17 July 2026

Template:Status

Template:TOC

Overview

HMDLS-CUBE에 대한 기술 문서입니다.

Summary

  • 무엇인가? - HMDLS-CUBE
  • 왜 필요한가? - HPC 및 서버 환경에서 필수 개념
  • 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시


Purpose

이 문서가 존재하는 이유

  • Goal: HMDLS-CUBE에 대한 기술 정보 제공
  • Scope: HMDLS-CUBE의 개념, 사용법, 설정
  • Non-goals: 다른 주제로의 확장


Key Concepts

Concept Description Related
HMDLS-CUBE HPC/서버 환경에서 중요한 기술 개념 Linux, Server


Detailed Explanation

HMDLS-CUBE
  • Artificial intelligence
  • Heavy scientific computation
  • High-performance computing
  • Research lab/national lab
  • Astrophysics, business intelligence
  • DLS-CUBE @ homepage
  1. Physics dynamic optimized liquid cooling design
    1. Unlimited CPU and GPU TDP
    2. Fully integrated hardware & software
    3. Active thermal monitoring and cooling control
    4. In-house design/CNC machining
  2. CoolGX liquid cooling technology - High performance GPGPU computing on the office table
  3. Adjustable Max. noise level through CoolGX configuration
  4. Single Socket AMD EPYC™ 7002/7003/9004 (with AMD 3D V-Cache™ Technology*) series processors
  5. 8 DIMM slots , supports DDR4 RDIMM, LRDIMM, RDIMM/LRDIMM-3DS, NVDIMM-N
  6. 2 10GbE, Dedicated IPMI RJ45
  7. 1x2.5", 3 x 3.5" internal drivebay, 2 x M.2 Internal Drive

Best Practices

  • 최신 버전 사용 권장
  • 공식 문서 참고
  • 테스트 환경에서 먼저 검증


References


Related Pages

Knowledge Graph

Related

ServerHardwareAMD EPYCNVIDIA GPULiquid Cooling