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(Created page with "center|frameless|191x191px|HMDLS-CUBE ==Application== *Artificial intelligence *Big data analytics *High-performance computing *Research lab/national lab *Astrophysics, business intelligence ==Features== #Dual chamber, High Air Flow GPGPU workstation #Quite and adjustable Max. noise level #Space optimized workstation with 2000W PSU #Single Socket SP3 (LGA 4094), supports AMD EPYC™ 7002/7003 (with AMD 3D V-Cache™ Technology*) series processors...") |
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[[File:Hmdls-cube.png|center|frameless| | {{Status | ||
|status=Draft | |||
|owner=Knowledge Agent | |||
|last_update=2026-07-16 | |||
|review=Pending | |||
}} | |||
{{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 == | |||
{| class="wikitable" | |||
! Concept | |||
! Description | |||
! Related | |||
|- | |||
| HMDLS-CUBE | |||
| HPC/서버 환경에서 중요한 기술 개념 | |||
| [[Linux]], [[Server]] | |||
|} | |||
== Detailed Explanation == | |||
[[File:Hmdls-cube.png|center|frameless|299x299px|HMDLS-CUBE]] | |||
*Artificial intelligence | *Artificial intelligence | ||
* | *Heavy scientific computation | ||
*High-performance computing | *High-performance computing | ||
*Research lab/national lab | *Research lab/national lab | ||
*Astrophysics, business intelligence | *Astrophysics, business intelligence | ||
*[http://www.hpcmate.com/system/hpcmate&hmdls-cube&new DLS-CUBE @ homepage] | |||
# | #Physics dynamic optimized [[liquid cooling]] design | ||
# | ##Unlimited CPU and GPU TDP | ||
##Fully integrated hardware & software | |||
#Single Socket | ##Active thermal monitoring and cooling control | ||
#8 DIMM slots | ##In-house design/CNC machining | ||
# | #[[Coolgx|CoolGX]] liquid cooling technology - High performance GPGPU computing on the office table | ||
#Adjustable Max. noise level through [[Coolgx|CoolGX]] configuration | |||
#Single Socket AMD EPYC™ 7002/7003/9004 (with AMD 3D V-Cache™ Technology*) series processors | |||
#3 x 3.5" | #8 DIMM slots , supports DDR4 RDIMM, LRDIMM, RDIMM/LRDIMM-3DS, NVDIMM-N | ||
#2 10GbE, Dedicated [[IPMI]] RJ45 | |||
#1x2.5", 3 x 3.5" internal drivebay, 2 x M.2 Internal Drive | |||
{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
[[Category: | |||
[[ | == Best Practices == | ||
[[ | |||
[[ | * 최신 버전 사용 권장 | ||
[[ | * 공식 문서 참고 | ||
[[Category: | * 테스트 환경에서 먼저 검증 | ||
== References == | |||
* [https://wiki.hpcmate.com HMDLS-CUBE] | |||
== Related Pages == | |||
* [[Linux]] | |||
* [[Server]] | |||
* [[Hardware]] | |||
* [[Network]] | |||
[[Category:Server]] | |||
== Knowledge Graph == | |||
Related | |||
→ [[Server]] | |||
→ [[Hardware]] | |||
→ [[AMD EPYC]] | |||
→ [[NVIDIA GPU]] | |||
→ [[Liquid Cooling]] | |||
[[Category:Reference]] | |||
Latest revision as of 11:28, 17 July 2026
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
- Artificial intelligence
- Heavy scientific computation
- High-performance computing
- Research lab/national lab
- Astrophysics, business intelligence
- DLS-CUBE @ homepage
- Physics dynamic optimized liquid cooling design
- Unlimited CPU and GPU TDP
- Fully integrated hardware & software
- Active thermal monitoring and cooling control
- In-house design/CNC machining
- CoolGX liquid cooling technology - High performance GPGPU computing on the office table
- Adjustable Max. noise level through CoolGX configuration
- Single Socket AMD EPYC™ 7002/7003/9004 (with AMD 3D V-Cache™ Technology*) series processors
- 8 DIMM slots , supports DDR4 RDIMM, LRDIMM, RDIMM/LRDIMM-3DS, NVDIMM-N
- 2 10GbE, Dedicated IPMI RJ45
- 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
→ Server → Hardware → AMD EPYC → NVIDIA GPU → Liquid Cooling