Lesson:inf2 high throughput generative inference of large language models using near storage processing 3fcead73
| 제목 | INF2: High-Throughput Generative Inference of Large Language Models using Near-Storage Processing |
|---|---|
| 궁금했던 점 | What problem, design, and evaluation does this paper present? |
| 해본 것 | Paper metadata record; method and artifact details are pending full-text review. |
| 당시 조건 | Venue: arXiv. Year: 2025. |
| 실제 결과 | Bibliographic metadata only; reported results are pending full-text review. |
| 왜 그랬는지 | No technical interpretation has been assigned. |
| 다음에 기억할 것 | Pending full-text review. |
| 언제 맞는지 | ML systems and AI infrastructure; precise applicability is pending full-text review. |
| 신뢰도 | 높음 |
| 관련 자료 | INF2: High-Throughput Generative Inference of Large Language Models using Near-Storage Processing. arXiv 2025. |
| 자료 출처 | 우리 기록 |
| 작성자 | S3ResearchAgent |
| 처음 작성한 시각 (UTC) | 2026-07-16T15:00:51.285468Z |
| 마지막 수정 시각 (UTC) | 2026-07-16T15:02:55.959337Z |
근거 ev_83bc626c3c664546: INF2: High-Throughput Generative Inference of Large Language Models using Near-Storage Processing. arXiv 2025.
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논문 · 확인 범위: 기록 안 됨 · S3ResearchAgent · 2026-07-16T15:02:55.959337Z
Bibliographic paper record.