✨Compiler-First State Space Duality and Portable O(1) Autoregressive Caching for Inference
📝 Summary:
Mamba-2's state space model is implemented using XLA-optimized primitives, eliminating custom kernels. This enables efficient cross-platform deployment on CPU, GPU, and TPU, realizing O1 autoregressive caching with high performance.
🔹 Publication Date: Published on Mar 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.09555
• PDF: https://arxiv.org/pdf/2603.09555
• Github: https://github.com/CosmoNaught/mamba2-jax
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#Mamba2 #StateSpaceModels #DeepLearning #MLInference #PerformanceOptimization
📝 Summary:
Mamba-2's state space model is implemented using XLA-optimized primitives, eliminating custom kernels. This enables efficient cross-platform deployment on CPU, GPU, and TPU, realizing O1 autoregressive caching with high performance.
🔹 Publication Date: Published on Mar 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.09555
• PDF: https://arxiv.org/pdf/2603.09555
• Github: https://github.com/CosmoNaught/mamba2-jax
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#Mamba2 #StateSpaceModels #DeepLearning #MLInference #PerformanceOptimization