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ACORN/ACCEL-AI

The ACORN/ACCEL-AI server options as displayed on the JupyterHub. The first option is the ACORN CPU Only SL7 Interactive, the second option is ACORN AIMPS SL7 Interactive, the third option is L-CAPE CPU Only SL7 Interactive, the fourth option is L-CAPE GPU SL7 Interactive (NVIDIA Ampere A100), the fifth option is L-CAPE GPU SL7 Interactive (NVIDIA Ampere A100) [20GB GPU], the sixth option is READS CPU Only SL7 Interactive, the seventh option is READS GPU SL7 Interactive (NVIDIA Ampere A100), and the eigth option is READS GPU SL7 Interactive (NVIDIA Ampere A100) [20GB GPU].

ACORN CPU Only SL7 Interactive

Image: acorn-notebook

Packages

xorg-x11-proto-devel

libX11-devel

libXau-devel

xorg-x11-xauth

xorg-x11-apps

xorg-x11-server-Xorg

cm-super

libX11

gcc

nvcc

jupyterlab-drawio

ffmpeg

dvipng

pytorch

cpuonly

jupyterlab-github

bokeh

tqdm

cython

h5py

matplotlib-base

ipympl

ipywidgets

numba

numexpr

scikit-images

numpy

pandas

pytz

scipy

scikit-learn

cupy

sympy

acsys

--

ACORN AIMPS SL7 Interactive

Image: AIMPS-notebook

Packages

gcc-gfortran

lfortran

cmake

L-CAPE CPU Only SL7 Interactive

Image: accel-ai-lcape-notebook

Packages

tensorflow-estimator

ffmpeg

cpuonly

scikit-learn

cm-super

tensorflow

pandas

dvipng

matplotlib

pytorch

pytables

h5py

seaborn

dask

hvplot

dask-ml

numpy

scipy

sympy

--

L-CAPE GPU SL7 Interactive (NVIDIA Ampere A100) and L-CAPE GPU SL7 Interactive (NVIDIA Ampere A100) [20GB GPU]

Image: accel-ai-lcape-notebook (GPU)

Packages

cudatoolkit

cudnn

tensorflow-gpu

nvcc

READS CPU Only SL7 Interactive

Image: accel-ai-reads-notebook

Packages

matplotlib-base

ipywidgets

scikit-image

scikit-learn

cm-super

ffmpeg

dvipng

pytorch

cpuonly

bokeh

tqdm

cython

h5py

ipympl

numba

numexpr

numpy

pandas

pytz

scipy

cupy

sympy

--

--

--

READS GPU SL7 Interactive (NVIDIA Ampere A100) and READS GPU SL7 Interactive (NVIDIA Ampere A100) [20GB GPU]

Image: accel-ai-reads-notebook (GPU)

Packages

jupyterlab-tensorboard-pro

cudatoolkit

cudnn

tensorflow-gpu

nvcc