Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
High-throughput Mamba-2 inference is usually tied to fused CUDA and Triton kernels, limiting portability across accelerator backends. We show that the state space duality (SSD) recurrence has a compiler-friendly structure: diagonal per-head dynamics, fixed-size chunking, einsum-dominated compute, and static control flow. Expressing this structure in standard JAX primitives gives a single-source inference path with no custom kernels, a registered JAX PyTree cache, and a compiled on-device autoregressive loop. On a single Google Cloud TPU v6e, batch-1 prefill reaches approximately 140 TFLOPS, or 15% model FLOP utilisation (MFU), the roofline ceiling for this regime, and cached decode reache...
| Authors | Cosmo Santoni, Anmol Thapar |
|---|---|
| Primary category | cs.LG |
| Published | 10 March 2026 |
| Last updated at source | 9 June 2026 |
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