SeVeDo: Accelerating Transformer Inference with Optimized Quantization
Published:Dec 15, 2025 02:29
•1 min read
•ArXiv
Analysis
This research paper introduces SeVeDo, a novel accelerator designed to improve the efficiency of Transformer-based models, focusing on low-bit inference. The hierarchical group quantization and SVD-guided mixed precision techniques are promising approaches for achieving higher performance and reduced resource consumption.
Key Takeaways
Reference
“SeVeDo is a heterogeneous transformer accelerator for low-bit inference.”