Hardware Mechanisms to Dynamically Throttle AI Performance
As more capable AI models are increasingly integrated into critical computer systems, the lack of control over AI intent motivates safety mechanisms. Existing software safeguards impose only behavioral constraints that can potentially be bypassed by sufficiently intelligent models. While hardware-level safety enforcement has been recognized as an essential last line of defense, few mechanisms have been proposed beyond policy regulations on unauthorized accesses or coarse full-chip shutdown. What is missing is a fine-grained, dynamic intervention mechanism at the architecture level. In this paper, we introduce a set of microarchitecture knobs which dynamically control the available hardwar...
| Authors | Haiyue Ma, Lauren Malek, Joseph Forzani et al. |
|---|---|
| Primary category | cs.AR |
| Published | 20 July 2026 |
| Last updated at source | 20 July 2026 |
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