
Worked on the huggingface/optimum-habana repository to enhance inference performance for transformer models on Habana Gaudi accelerators. Developed and integrated a FusedSDPA kernel into the Bert self-attention mechanism, replacing the standard scaled dot-product attention within BertSdpaSelfAttention.forward. This targeted optimization focused on non-training scenarios, aiming to deliver improved throughput and reduced latency specific to Habana hardware. The implementation was tracked with a dedicated commit for clear traceability. Leveraged deep learning expertise, performance optimization techniques, and Python to ensure the solution aligned with hardware capabilities. The work demonstrated a focused approach to hardware-aware model optimization within a production codebase.
July 2025 performance-focused milestone for huggingface/optimum-habana. Implemented FusedSDPA integration for Bert self-attention on Habana Gaudi accelerators, replacing the standard scaled dot-product attention in BertSdpaSelfAttention.forward. This work targets inference and non-training scenarios, delivering improved throughput and reduced latency on Habana hardware. All work is tracked under commit b33fbba07adb5347920a58be84bc2e5edba27ed5 with message "Use FusedSDPA in self_attention of Bert model (#2115)".
July 2025 performance-focused milestone for huggingface/optimum-habana. Implemented FusedSDPA integration for Bert self-attention on Habana Gaudi accelerators, replacing the standard scaled dot-product attention in BertSdpaSelfAttention.forward. This work targets inference and non-training scenarios, delivering improved throughput and reduced latency on Habana hardware. All work is tracked under commit b33fbba07adb5347920a58be84bc2e5edba27ed5 with message "Use FusedSDPA in self_attention of Bert model (#2115)".

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