https://www.servethehome.com/deep-dive-into-lowering-server-power-consumption-intel-inspur-hpe-dell-emc/2p-intel-xeon-platinum-8362-inspur-nf5280m6-2u-baseline-fp32-int8-tensorflow-relative-performance-per-watt/
2P Intel Xeon Platinum 8362 Inspur NF5280M6 2U Baseline FP32 Int8 Tensorflow Relative Performance...
2P Intel Xeon Platinum 8362 Inspur NF5280M6 2U Baseline FP32 Int8 Tensorflow Relative Performance Per Watt
https://openreview.net/forum?id=legjTSXjbD
Bridging the Gap Between AI Quantization and Edge Deployment: INT4 and INT8 on the Edge | OpenReview
Quantization is the key to deploying neural networks on microcontroller-class edge devices. While INT4 and mixed-precision schemes promise strong...
bridging the gap
https://ai.google.dev/edge/api/mediapipe/python/mp/packet_creator/create_int8
mp.packet_creator.create_int8 | Google AI Edge | Google AI for Developers
google ai edgemppacketcreatorcreate
https://openreview.net/forum?id=dXiGWqBoxaD
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale | OpenReview
Billion-parameter scale 8-bit transformers that can be used immediately from 16/32-bit checkpoints without performance degradation
8 bitmatrix multiplicationfor transformersgpt3int8