Unable to start jupyter notebook/lab in Pytorch 20.07 docker image

docker run --rm -it -p 8888:8888 nvcr.io/nvidia/pytorch:20.07-py3

== PyTorch ==

NVIDIA Release 20.07 (build 14714849.1)
PyTorch Version 1.6.0a0+9907a3e

Container image Copyright © 2020, NVIDIA CORPORATION. All rights reserved.

Copyright © 2014-2020 Facebook Inc.
Copyright © 2011-2014 Idiap Research Institute (Ronan Collobert)
Copyright © 2012-2014 Deepmind Technologies (Koray Kavukcuoglu)
Copyright © 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
Copyright © 2011-2013 NYU (Clement Farabet)
Copyright © 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
Copyright © 2006 Idiap Research Institute (Samy Bengio)
Copyright © 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
Copyright © 2015 Google Inc.
Copyright © 2015 Yangqing Jia
Copyright © 2013-2016 The Caffe contributors
All rights reserved.

Various files include modifications © NVIDIA CORPORATION. All rights reserved.
NVIDIA modifications are covered by the license terms that apply to the underlying project or file.

WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available.
Use ‘nvidia-docker run’ to start this container; see
https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker .

NOTE: MOFED driver for multi-node communication was not detected.
Multi-node communication performance may be reduced.

NOTE: The SHMEM allocation limit is set to the default of 64MB. This may be
insufficient for PyTorch. NVIDIA recommends the use of the following flags:
nvidia-docker run --ipc=host …

root@6d7d669560b0:/workspace# jupyter notebook --ip --no-browser --allow-root
[I 14:12:26.244 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
Illegal instruction (core dumped)