Hyper-V GPU passthrough: 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 | ||
== Purpose == | == Purpose == | ||
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* Non-goals: 다른 주제로의 확장 | * Non-goals: 다른 주제로의 확장 | ||
== Key Concepts == | == Key Concepts == | ||
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== Detailed Explanation == | == Detailed Explanation == | ||
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<references /> | <references /> | ||
== Best Practices == | == Best Practices == | ||
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* 테스트 환경에서 먼저 검증 | * 테스트 환경에서 먼저 검증 | ||
== References == | == References == | ||
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* [https://wiki.hpcmate.com Hyper-V GPU passthrough] | * [https://wiki.hpcmate.com Hyper-V GPU passthrough] | ||
== Related Pages == | == Related Pages == | ||
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* [[Network]] | * [[Network]] | ||
[[Category:GPU]] | [[Category:GPU]] | ||
== Knowledge Graph == | |||
Related | |||
→ [[CUDA]] | |||
→ [[GPU]] | |||
→ [[NVIDIA GPU]] | |||
→ [[NVLink]] | |||
→ [[AMD GPUs]] | |||
→ [[MIG]] | |||
→ [[NVIDIA GPUs]] | |||
→ [[Tensor Core]] | |||
[[Category:Reference]] | [[Category:Reference]] | ||
Latest revision as of 11:28, 17 July 2026
Overview
Hyper-V GPU passthrough에 대한 기술 문서입니다.
Summary
- 무엇인가? - Hyper-V GPU passthrough
- 왜 필요한가? - HPC 및 서버 환경에서 필수 개념
- 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시
Purpose
이 문서가 존재하는 이유
- Goal: Hyper-V GPU passthrough에 대한 기술 정보 제공
- Scope: Hyper-V GPU passthrough의 개념, 사용법, 설정
- Non-goals: 다른 주제로의 확장
Key Concepts
| Concept | Description | Related |
|---|---|---|
| Hyper-V GPU passthrough | HPC/서버 환경에서 중요한 기술 개념 | Linux, Server |
Detailed Explanation
GPU partitioning is a method to partition off resources from your graphics card so that it can be used inside your VMs. Hyper-V supports is GPU passthrough, a feature that allows virtual machines to access the host’s GPU directly. this feature allows graphics intensive workloads like gaming or video editing on Hyper-V guest.
This posting explains how to set GPU to Hyper-V window VM
Test to see if your GPU can be partitioned at all. On the Host, open a Powershell prompt as administrator.
Get-VMPartitionableGpu (win10)
or
Get-VMHostPartitionableGpu (win11)
- Need a GPU that supports GPU virtualization, such as NVIDIA GRID or AMD MxGPU technology
- Your CPU needs to support IOMMU (Input-Output Memory Management Unit) virtualization, which is required for GPU passthrough
- GPU passthrough is not supported for virtual machines that use Dynamic Memory
- GPU passthrough is only available on specific editions of Windows Server, such as the Datacenter edition
- brokeDude2901 introduced how to enable GPU passthrough to Ubuntu VM using dxgkrnl_ubuntu kernel on github
Best Practices
- 최신 버전 사용 권장
- 공식 문서 참고
- 테스트 환경에서 먼저 검증
References
Related Pages
Knowledge Graph
Related
→ CUDA → GPU → NVIDIA GPU → NVLink → AMD GPUs → MIG → NVIDIA GPUs → Tensor Core