TransformerEngine 2.11.0

TransformerEngine 2.11.0+c188b533

Built with:

• Python 3.12
• PyTorch 2.10.0
• CUDA 13.0
• CUDA architectures: sm_75, sm_80, sm_89, sm_90, sm_100, sm_120

TransformerEngine 2.10.0

TransformerEngine 2.10.0+769ed778

Built with:

• Python 3.12
• PyTorch 2.10.0
• CUDA 12.9
• CUDA architectures: sm_70, sm_80, sm_89, sm_90, sm_100, sm_120

Mamba SSM 2.3.1 + Causal Conv1d 1.6.1 (CUDA 12.9, PyTorch 2.10)

Pre-compiled wheels for mamba-ssm 2.3.1 and causal-conv1d 1.6.1.

• Python 3.12, Linux x86_64
• Built against PyTorch 2.10.0+cu129, CUDA 12.9
• Source: https://github.com/state-spaces/mamba

FlashAttention 3.0.0b1

FlashAttention-3 v3.0.0b1

• Requires CUDA 12.3+
• Python 3.9+ (stable ABI)
• Hopper (SM90) optimized

DeepGEMM 2.3.0

DeepGEMM wheel for CUDA 13, PyTorch 2.10, Python 3.12

DeepEP 1.2.1 (CUDA 13.0)

DeepEP 1.2.1+567632d

Built with:

• Python 3.12
• PyTorch 2.11.0
• CUDA 13.0

DeepEP 1.2.1

Pre-built DeepEP wheel (commit 567632d, torch 2.9, CUDA 12, Python 3.12)