GitHub - NVIDIA/TransformerEngine: A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference. - discu.eu

Linking pages

GitHub - NVIDIA/NeMo: NeMo: a toolkit for conversational AI https://github.com/NVIDIA/NeMo 8 comments
Benchmarking and Dissecting the Nvidia Hopper GPU Architecture https://arxiv.org/html/2402.13499v1 4 comments

Linked pages

GitHub - EleutherAI/gpt-neox: An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. https://github.com/EleutherAI/gpt-neox 67 comments
Inflection-2: The Next Step Up https://inflection.ai/inflection-2 30 comments
Benchmarking Large Language Models on NVIDIA H100 GPUs with CoreWeave (Part 1) https://www.mosaicml.com/blog/coreweave-nvidia-h100-part-1 15 comments
GitHub - hpcaitech/ColossalAI: Making large AI models cheaper, faster and more accessible https://github.com/hpcaitech/ColossalAI 9 comments
Apache License, Version 2.0 – Open Source Initiative https://opensource.org/licenses/Apache-2.0 6 comments
https://proceedings.neurips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf 0 comments

Related searches:

Search whole site: site:github.com

Search title: GitHub - NVIDIA/TransformerEngine: A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

See how to search.

Submit link to: