# ChipAgents and NVIDIA launch test of end-to-end AI chip design

> Build-A-Chip-Bench evaluates agents from design specifications through physical verification.

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- Publisher: Newsverum
- Section: Technology
- Country: United States
- Published: 2026-10-15T15:32:10+00:00
- Updated: 2026-10-15T15:32:10+00:00
- Event / data period: 2026-10-14
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ChipAgents announced Build-A-Chip-Bench, developed with NVIDIA, on October 14. The company said it covers architecture, verification, synthesis, placement, routing and physical verification.

In the company’s initial evaluation, agents passed functional verification on about 40% of tasks on average; only about 10% met physical performance, power and area (PPA) targets. These are approximate, company-reported results under the benchmark’s test conditions, not an independent comparison.

## Data

### ChipAgents and NVIDIA launch test of end-to-end AI chip design

Build-A-Chip-Bench evaluates agents from design specifications through physical verification.

Methodology: Figures are from the company announcement and initial evaluation; they are not independent validation.

| date | label | description | status |
|---|---|---|---|
| 2026-10-14 | ChipAgents and NVIDIA launch test of end-to-end AI chip design | Build-A-Chip-Bench evaluates agents from design specifications through physical verification. | occurred |

Sources: <https://chipagents.ai/newsroom/chipagents-nvidia-build-a-chip-bench> · Download data: [JSON](https://newsverum.com/api/v1/articles/chipagents-build-a-chip-bench-ai-chip-design-evaluation/data/announcement?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/chipagents-build-a-chip-bench-ai-chip-design-evaluation/data/announcement?lang=en&format=csv)

### Key fact in announcement

The central source-reported point is provided as a translated text cell.

Methodology: The text summarizes the source announcement; it adds no quantitative result or independent validation.

| Key fact |
|---|
| Build-A-Chip-Bench evaluates agents from design specifications through physical verification. |

Sources: <https://chipagents.ai/newsroom/chipagents-nvidia-build-a-chip-bench> · Download data: [JSON](https://newsverum.com/api/v1/articles/chipagents-build-a-chip-bench-ai-chip-design-evaluation/data/key-fact-table?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/chipagents-build-a-chip-bench-ai-chip-design-evaluation/data/key-fact-table?lang=en&format=csv)

### Company’s initial evaluation results

Approximate rates from the company’s initial evaluation: 40% is the average task rate for functional verification; 10% is the rate meeting PPA targets.

Methodology: Approximate initial-evaluation rates reported by the company under its benchmark test conditions; not independently validated.

| Result | Approximate rate |
|---|---|
| Tasks passing functional verification in the initial evaluation; average across agents, approximate | 40 |
| Tasks meeting physical performance, power and area (PPA) targets in the initial evaluation; approximate | 10 |

Sources: <https://chipagents.ai/newsroom/chipagents-nvidia-build-a-chip-bench> · Download data: [JSON](https://newsverum.com/api/v1/articles/chipagents-build-a-chip-bench-ai-chip-design-evaluation/data/initial-evaluation-results?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/chipagents-build-a-chip-bench-ai-chip-design-evaluation/data/initial-evaluation-results?lang=en&format=csv)

## Sources

- [ChipAgents](<https://chipagents.ai/newsroom/chipagents-nvidia-build-a-chip-bench>) (Source checked: 2026-10-15; Published: 2026-10-14)

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