Design Conductor: An agent autonomously builds a 1.5 GHz Linux-capable RISC-V CPU
Not on the map. Why?
Abstract (arXiv)
Design Conductor (DC) is an autonomous agent which applies the capabilities of frontier models to build semiconductors end-to-end -- that is, from concept to verified, tape-out ready GDSII (layout CAD file). In 12 hours and fully autonomously, DC was able to build several micro-architecture variations of a complete RISC-V CPU (which we dub VerCore) that meet timing at 1.48 GHz (rv32i-zmmul; using the ASAP7 PDK), starting from a 219-word requirements document. The VerCore achieves a CoreMark score of 3261. For historical context, this is roughly equivalent to an Intel Celeron SU2300 from mid-2011 (which ran at 1.2 GHz). To our knowledge, this is the first time an autonomous agent has built a complete, working CPU from spec to GDSII. This report is organized as follows. We first review DC's design and its key components. We then describe the methodology that DC followed to build VerCore -- including RTL implementation, testbench implementation, frontend debugging, optimization to achieve timing closure, and interacting with backend tools. We review the key characteristics of the resulting VerCore. Finally, we highlight how frontier models could improve to better enable this application, and our lessons learned as to how chips will be built in the future enabled by the capabilities of systems like DC.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 0 of its 4 references that are in the map. First posted on arXiv 6 Feb 2026.
Builds on
0 of 4 references.
No references here yet.
Built on by
Citing papers per year: 2026: 4.
4 papers.
- 2026Computer Architecture's AlphaZero Moment: Automated Discovery in an Encircled Worldcited by 5
- 2026Design Conductor 2.0: An agent builds a TurboQuant inference accelerator in 80 hourscited by 2
- 2026CLOSER-Bench: Evaluating Budgeted Cross-Stage Design Closure for Hardware Agentscited by 0
- 2026Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflowscited by 0
- 2026Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows20 Jul 2026
- 2026CLOSER-Bench: Evaluating Budgeted Cross-Stage Design Closure for Hardware Agents18 Jul 2026
- 2026Design Conductor 2.0: An agent builds a TurboQuant inference accelerator in 80 hours6 May 2026
- 2026Computer Architecture's AlphaZero Moment: Automated Discovery in an Encircled World31 Mar 2026