Triton 3.3.1-gfbf-2024a-CUDA-12.6.0

Triton is a language and compiler for parallel programming. It aims to provide a Python-based programming environment for productively writing custom DNN compute kernels capable of running at maximal throughput on modern GPU hardware.

Accessing Triton 3.3.1-gfbf-2024a-CUDA-12.6.0

To load the module for Triton 3.3.1-gfbf-2024a-CUDA-12.6.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2024a
module load Triton/3.3.1-gfbf-2024a-CUDA-12.6.0

BEAR Apps Version

2024a

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)

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

• Triton 3.3.1

More Information

For more information visit the Triton website.

Dependencies

This version of Triton has a direct dependency on: CUDA/12.6.0 gfbf/2024a pybind11/2.12.0-GCC-13.3.0 Python/3.12.3-GCCcore-13.3.0 Python-bundle-PyPI/2024.06-GCCcore-13.3.0 SciPy-bundle/2024.05-gfbf-2024a Z3/4.13.0-GCCcore-13.3.0 zlib/1.3.1-GCCcore-13.3.0 zstd/1.5.6-GCCcore-13.3.0

Required By

This version of Triton is a direct dependent of: PyTorch/2.7.1-foss-2024a-CUDA-12.6.0

Other Versions

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

Last modified on 19th May 2026