An AI agent just designed a complete RISC-V CPU from scratch in 12 hours

DragonSlayer101

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In brief: An agentic AI system has reportedly designed a complete RISC-V CPU core from scratch in just 12 hours, marking the first time an autonomous agent has built a working CPU from specification to GDSII. Like human engineers, the AI agent followed the conventional design cycle – design, build, test, and refine – but did so entirely on its own rather than relying on separate automation tools for each stage.

The processor – dubbed VerCore – was created by chip design startup Verkor.io using its agentic AI system, Design Conductor. According to a whitepaper published by the company, VerCore features a five-stage pipeline design with an in-order, single-issue architecture and a 1.48GHz clock speed.

The chip reportedly scored 3,261 on the CoreMark benchmark, a specialized tool used to measure the performance of microcontrollers and CPUs in embedded systems. The modest score suggests that VerCore can barely keep pace with an entry-level Intel Celeron SU2300 from mid-2011, indicating that the new design is unlikely to compete with modern CPUs.

It is worth noting that Design Conductor is not itself an AI model, but a harness tool that constrains large language models to follow a specific set of instructions in pursuit of a defined objective. In this case, it worked autonomously with a 219-word specification document provided by the VerCore engineers and produced a GDSII file that can be used to fabricate an actual CPU core using EDA software.

A major caveat worth noting is that VerCore has not yet been physically fabricated; it has only been validated in simulation using the reference RISC-V ISA simulator, Spike. Its layout was designed using ASAP7 PDK, an open-source academic design kit that models a 7nm-class process node. The predictive PDK was developed by engineers at Arizona State University in collaboration with ARM Research and is available on GitHub under the BSD 3-Clause license.

Verkor plans to release all relevant design files by the end of this month, allowing hardware designers and third-party engineers to verify the company's claims. The company also plans to showcase an FPGA implementation of VerCore at the Design Automation Conference in Long Beach, California, in July.

This is not the first time AI has been used for digital hardware synthesis. In 2020, a fine-tuned GPT-2 model dubbed DAVE was trained on Verilog code to generate simple hardware logic circuits. This was followed in 2023 by an 8-bit processor layout reportedly designed entirely by GPT-4. As of 2026, most leading large language models are capable of designing and testing chips with basic functionality, albeit with varying levels of reliability.

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AI didn't create anything.

AI with heavy constraints was used to translate English words into design specifications for a non-AI program that can iteratively design chips through existing processes.

AI is the new GUI interface. Huzzah.
 
Build it and then tell me if it works in reality as well as it does in their imaginations.
 
AMD's Bulldozer chips were largely machine designed. This isnt new.
Buldozer had components optimized more by Electronic Design Automation (Logic Synthesis, routing) than previous cpus and intel. It was a cost cutting and time to market measure. Those tools were not AI.
It sucked? yes. but the reasons were so many ...
L1 cache was cut from the initial designed 64KB to 32KB and then to 16KB resulting in huge cache misses and stalls compared to other chips.
The architecture with two cores that shared some of the frontend (decoder, fetch, L1i), fpu units.
L3 was shared by all cores but could only provide low bandwidth/core, in worst case scenarios it was opnly 25% better than RAM and latency was not great either, in fact was bad.
A lot of tradeoffs were made in order to ship the chip on the 32nm. To put things into perspective, even porting llano to 32nm SOI was hard, let alone building a completely new design.
 
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