NVIDIA Hopper H100 GPU: Scaling Performance
Author:
Affiliation:
1. NVIDIA, Santa Clara, CA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Link
http://xplorestaging.ieee.org/ielx7/40/10123124/10070122.pdf?arnumber=10070122
Reference4 articles.
1. Language models are few-shot learners;brown,2020
2. FP8 formats for deep learning;micikevicius,2022
3. NVIDIA A100 Tensor Core GPU: Performance and Innovation
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