jax 0.6.1-foss-2024a

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Accessing jax 0.6.1-foss-2024a

To load the module for jax 0.6.1-foss-2024a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2024a module load jax/0.6.1-foss-2024a

There is a GPU enabled version of this module: jax 0.6.1-foss-2024a-CUDA-12.6.0

BEAR Apps Version

2024a

Architectures

EL8-emeraldrapids — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two parts: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

jax 0.6.1
jaxlib 0.6.1
ml_dtypes 0.5.1
opt_einsum 3.4.0

More Information

For more information visit the jax website.

Other Versions

These versions of jax are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version	BEAR Apps Version
0.6.1-foss-2024a-CUDA-12.6.0	2024a
0.4.25-gfbf-2023a	2023a
0.4.4-foss-2022a-CUDA-11.7.0	2022a
0.4.4-foss-2022a	2022a
0.3.25-foss-2022a-CUDA-11.7.0	2022a
0.3.25-foss-2022a	2022a
0.3.23-foss-2022a	2022a
0.3.14-foss-2022a-CUDA-11.7.0	2022a
0.3.13-foss-2021b-CUDA-11.4.1	2021b
0.3.13-foss-2021b	2021b
0.3.9-foss-2021a-CUDA-11.3.1	2021a
0.2.24-foss-2021a-CUDA-11.3.1	2021a
0.2.24-foss-2021a	2021a

Last modified on 4th June 2025