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Foundation models

Ricursive releases open-weight Ripple-65B model for chip design automation

The new Apache 2.0 licensed model costs $0.60 per million output tokens, offering a low-cost option for hardware developers.

Key points

  • Ricursive launched Ripple-65B Preview, a general-purpose variant of its chip design AI.
  • The model is released under the Apache 2.0 license with open weights.
  • Inference pricing is set at $0.60 for every million output tokens.
Ricursive releases open-weight Ripple-65B model for chip design automation
Depth
65BRicursive launched Ripple-65B Preview, a general-purpose variant of its chip design AI · reported
$0.60Inference pricing is set at $0.60 for every million output tokens · reported
1 outlet · newest source 2h ago

Ricursive has released Ripple-65B Preview, a new artificial intelligence model designed to automate advanced chip design. VentureBeat reported that the company published this general-purpose variant under the Apache 2.0 license, making the weights openly available for developers to inspect and modify.This new tool helps computers design computer chips, and it is cheap to run.The release provides a foundation model for hardware EDA workflows.

Evidence: reportedRicursive releases Ripple-65B Preview, a general-purpose variant of its AI model for automating advanced chip design, under Apache 2.0, costing $0.60/1M output (Carl Franzen/VentureBeat)

aifleet-techmeme

Evidence: reportedRicursive releases Ripple-65B Preview, a general-purpose variant of its AI model for automating advanced chip design, under Apache 2.0, costing $0.60/1M output (Carl Franzen/VentureBeat)

aifleet-techmeme

The figures

The source material states the model costs $0.60 per million output tokens. The model is named Ripple-65B.

Evidence: reportedRicursive releases Ripple-65B Preview, a general-purpose variant of its AI model for automating advanced chip design, under Apache 2.0, costing $0.60/1M output (Carl Franzen/VentureBeat)

aifleet-techmeme

Evidence: reportedRicursive releases Ripple-65B Preview, a general-purpose variant of its AI model for automating advanced chip design, under Apache 2.0, costing $0.60/1M output (Carl Franzen/VentureBeat)

aifleet-techmeme

Behind the figures

The source material does not explain the methodology used to calculate the pricing tier or the specific hardware requirements for inference. It also does not detail the benchmarking process for the performance claims mentioned in the summary.

What it means for your stack

Developers can integrate this model into their workflows without proprietary license restrictions, thanks to the Apache 2.0 terms. The stated cost per output suggests it may be viable for high-volume generation tasks within semiconductor development pipelines.

Evidence: reportedRicursive releases Ripple-65B Preview, a general-purpose variant of its AI model for automating advanced chip design, under Apache 2.0, costing $0.60/1M output (Carl Franzen/VentureBeat)

aifleet-techmeme

Building on this

Inference engineers can deploy Ripple-65B for automating aspects of advanced chip design. The open weights allow for local hosting or fine-tuning on specific hardware datasets. The model is described as a general-purpose variant.

Evidence: reportedRicursive releases Ripple-65B Preview, a general-purpose variant of its AI model for automating advanced chip design, under Apache 2.0, costing $0.60/1M output (Carl Franzen/VentureBeat)

aifleet-techmeme

Why it matters

  • The Apache 2.0 license allows commercial use without royalty fees, reducing legal overhead for chip startups.
  • The $0.60 per million token price point provides a specific cost metric for inference evaluation.
  • Open weights enable engineers to audit the model for safety or bias before integrating it into critical design flows.
  • A general-purpose variant reduces the need for multiple specialized models in the same pipeline.

Topics: models, chip design, open source, inference

Updated

Then / now / next

Then

Chip design automation relied on proprietary or closed-source AI tools.

Now

Ricursive offers an open-weight, low-cost alternative with its Ripple-65B Preview.

Next

Watch for independent benchmarks comparing its performance against existing commercial solutions.

Story timeline

  1. Then Chip design automation relied on proprietary or closed-source AI tools.
  2. 05 Nov 2026 Ricursive releases Ripple-65B Preview, a general-purpose variant of its AI model for automating advanced chip design, under Apache 2.0, costing $0.60/1M output (Carl Franzen/VentureBeat)
  3. Now Ricursive offers an open-weight, low-cost alternative with its Ripple-65B Preview.
  4. Next Watch for independent benchmarks comparing its performance against existing commercial solutions.

The strongest doubt

Counterpoint from the sources

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Terms in this story

Apache 2.0

A permissive open-source license allowing commercial use and modification.

Inference

The process of running a trained model to generate outputs from input data.

Open weights

Model parameters made publicly available for download and inspection.

Questions readers ask

Is the Ripple-65B model free to use?

The weights are open under Apache 2.0, but inference costs $0.60 per million output tokens.

What is the model designed for?

It is a general-purpose variant intended for automating advanced chip design tasks.

Can I modify the model code?

Yes, the Apache 2.0 license permits modification and redistribution of the open weights.

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Reading receipt

  • Ricursive launched Ripple-65B Preview, a general-purpose variant of its chip design AI.
  • The model is released under the Apache 2.0 license with open weights.
  • Inference pricing is set at $0.60 for every million output tokens.

Still open: How does the model's accuracy compare to proprietary competitors?

Still open: What are the hardware requirements for running the model locally?

Time spent: 0:00 · Depth: Full

Sources

  1. Techmeme

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