Overview
- Field: Computer Architecture
- Authors: The Verkor Team, Ravi Krishna, Suresh Krishna, David Chin
- Published: 2026-05-06
- arXiv: 2605.05170
- VerTQ — an LLM inference accelerator that hard-wires support for TurboQuant in a 240-cycle pipeline, generated starting from the TurboQuant arXiv paper.
- VerTQ includes heavy compute processing with 5,129 FP16/32 units.
- The design was mapped to an FPGA at 125 MHz and consumes 5.7 mm² in TSMC 16FF (8 attention pipes).
Driven by a rapid co-evolution of both harness and underlying models, LLM agents are improving at a dizzying pace. In prior work (performed in December 2025), the authors introduced Design Conductor (or just Conductor), a system capable of building a 5-stage Linux-capable RISC-V CPU in 12 hours. In this work, they present an updated multi-agent harness powered by frontier models released in April 2026, which is able to handle 80x larger tasks, at higher quality, fully autonomously.
Key Results
The paper examines 4 designs that the system produced autonomously, including:
Additional Analysis
The authors review the key new characteristics of the harness that enabled these results, and conclude with an analysis of Design Conductor's token usage and other empirical characteristics, including its limitations.
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*Auto-collected on 2026-05-08, originally posted on zhichai.net.*