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AI agents co-design hardware-software infrastructure for faster model performance

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework called Formulaic that uses AI agents to co-design AI infrastructure, integrating hardware and software for improved performance. This approach allows AI agents to propose designs, which are then optimized by mathematical solvers and verified for correctness and efficiency. Initial studies show significant speedups, with one test demonstrating a 1.075x improvement for Qwen3-8B layers on NVIDIA GB10 hardware compared to existing software, and another indicating a reduction in worst-scenario cycles for Qwen2.5-0.5B on a simulated Ventus GPU. AI

IMPACT This co-design approach could lead to more efficient AI hardware and software, accelerating model training and inference.

RANK_REASON The cluster contains a research paper detailing a new method for AI infrastructure design. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents co-design hardware-software infrastructure for faster model performance

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The cluster contains a research paper detailing a new method for AI infrastructure design. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper, infra
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High
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yi Ding, Li Shang ·

    Learning to Formulate: Agentic Hardware-Software Co-Design of AI Infrastructure through Progressive Optimization and Verification

    arXiv:2610.39380v1 Announce Type: cross Abstract: AI infrastructure, the chips and software that train and serve AI models, is designed in layers. Layers make the system manageable, but they also fix which choices an optimizer can consider. Gains that need the chip and its softwa…

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