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판정 리포트 · 완료 2026-10-28 13:01

엔비디아가 고가 GPU 한 대를 여러 AI가 나눠 쓰고 메모리까지 통제할 수 있는 공유 기술을 공개했다

사실

요약
ions 공개)와 정확히 일치하며, 제조사 1차 출처 및 소스코드 원자료로 교차확인됐다. 최종 판정: 사실 이미지: [P: https://developer-blogs.nvidia.com/wp-content/uploads/2026/10/CUDAMemoryKV-1024x576.webp] [P: https://developer-blogs.nvidia.com/wp-content/uploads/2026/10/image1-12-625x648-png.webp] [P: https://www.nvidia.com/content/nvidiaGDC/kr/ko_KR/technologies/multi-instance-gpu/_jcr_content/root/responsivegrid/nv_container_256383532/nv_image.coreimg.100.630.png/1709370127793/multi-instance-g
근거 — 직접 열람한 1차 출처 11건
  1. https://www.aitimes.kr/news/articleView.html?idxno=42461
  2. https://developer.nvidia.com/blog/memory-enforced-gpu-sharing-in-kubernetes-with-nvidia-cuda-13-4/
  3. https://github.com/kai-scheduler/gpu-fractioning
  4. https://github.com/dsx-ai-factory/run-ai
  5. https://developer.nvidia.com/blog/nvidia-runai-is-now-open-source-as-part-of-nvidia-dsx-ai-factory-platform/
  6. https://nvidianews.nvidia.com/news/nvidias-new-ampere-data-center-gpu-in-full-production
  7. https://www.nvidia.com/ko-kr/technologies/multi-instance-gpu/
  8. https://developer-blogs.nvidia.com/wp-content/uploads/2026/10/CUDAMemoryKV-1024x576.webp
  9. https://developer-blogs.nvidia.com/wp-content/uploads/2026/10/image1-12-625x648-png.webp
  10. https://www.nvidia.com/content/nvidiaGDC/kr/ko_KR/technologies/multi-instance-gpu/_jcr_content/root/responsivegrid/nv_container_256383532/nv_image.coreimg.100.630.png/1709370127793/multi-instance-gpu-tech-works-1cc-d-2x.png
  11. https://search.naver.com/
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사실
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