# HYDRA preprint reports faster hybrid-LLM serving on chiplet systems

_Friday, August 21, 2026 at 12:00 AM EDT · Science, AI · Latest · Tier 2 — Notable_

A new arXiv paper describes HYDRA, a design-space exploration framework for serving hybrid Transformer-Mamba language models on heterogeneous chiplet systems. The framework jointly evaluates chiplet composition and placement, inter-chiplet bandwidth, batching and runtime scheduling. Across its workloads, the paper reports average throughput 1.55 times higher and time-to-first-token 43.7% lower than state-of-the-art baselines, with throughput gains up to 2.3 times. The results are presented as performance comparisons from the framework's evaluation.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2608.19395)

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