Architect Labs (@architectlabs)

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We gave our AI system a spec, and in under 2 weeks, it designed, verified, and deployed a chip that beats NVIDIA.

It’s built for low-power physical AI workloads. We’re running live inference on >B+ parameter models like Llama, Qwen, and Kimi, serving at 3.4x better perf/watt than NVIDIA Jetson.

From just a specification, our AI system autonomously generated all of the RTL Design, UVM verification, formal proofs, firmware, drivers, and kernels, co-designing the model, software and silicon as one optimization loop.

Better AI can now design better chips to run AI, leading to a loop of recursive-self improvement towards our path to abundant intelligence.

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Architect Labs @architectlabs Sep 4

Architect Labs is excited to be a part of this! AI & mathematics will have a large impact on all engineering disciplines, including chip design. We're looking forward to seeing what open problems get solved 👀

Sathvik Redrouthu Verified account @_sathvikr Sep 4

We partnered with @AnthropicAI @OpenAI
to host the world's first math hackathon.

40 hours, $2M compute - solve, understand, and present an open problem.

Applications are live: mathathonchallenge.com

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Architect Labs @architectlabs Aug 27

2 weeks from initial idea to fully verified, deployed, and end-to-end working RTL. All the code for the ASIC is done, and we've shown a sample of it running on FPGA. We're working hard to bring it to GDS and take it to TSMC. Read more below:

Architect Labs @architectlabs Aug 27

We gave our AI system a spec, and in under 2 weeks, it designed, verified, and deployed a chip that beats NVIDIA.

It’s built for low-power physical AI workloads. We’re running live inference on >B+ parameter models like Llama, Qwen, and Kimi, serving at 3.4x better perf/watt than NVIDIA Jetson.

From just a specification, our AI system autonomously generated all of the RTL Design, UVM verification, formal proofs, firmware, drivers, and kernels, co-designing the model, software and silicon as one optimization loop.

Better AI can now design better chips to run AI, leading to a loop of recursive-self improvement towards our path to abundant intelligence.

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Architect Labs @architectlabs Aug 13

Our co-founder and CEO Ebrahim Hussain (@axi_master) sat down with Schuster Tanger from @TQVentures to discuss the next shift in computing paradigms.

The conversation covers why intelligence is scaling and fragmenting at the same time, across gigawatt data centers, robotics, autonomous systems, defense, wearables and personal AI, and why each of those needs chip designs that are co-designed and co-evolved for its own workload.

Ebrahim also talks through what he learned building silicon at Apple and Tesla, why more companies will vertically integrate to co-design their own silicon, and how Architect Labs is building the technology that makes world-class chip design available to anyone with a workload that matters.

Full conversation in the thread below

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Architect Labs @architectlabs Aug 12

Today, getting from concept of silicon runs multiple years. Hundreds of millions of dollars in upfront investment. A design flow that has only incrementally changed in the last four decades.

Our co-founder & CEO, @axi_master sat down with Schuster Tanger from @tqventures to discuss the future of custom silicon, closing the loop between AI and chip design, and how Architect Labs is building a fundamentally new approach to going from software to silicon in a fraction of today’s timelines.

Full video releasing soon…

TQ Ventures @TQVentures Aug 12

The future of custom chip design.

The next Study.

Coming soon.

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