Etched.ai is an AI hardware company developing specialized chips optimized for transformer models, with advanced GPUs for speed and efficiency, through intentional, mission-based design of AI acceleration.
Etched.ai is a state-of-the-art chip company manufacturing ultra-specialized Transformer ASICs to accelerate large language models. By integrating the transformer architecture directly into the hardware, it aims to deliver speed and efficiency levels for AI inference that GPUs cannot match.
Its first chip, Sohu, is designed for generative AI workloads, providing tremendous speed and cost advantages. Etched.ai has secured $120 million in Series A funding and partnered with TSMC to develop chips, enabling it to give the world’s future AI infrastructure that is built for purpose.
| Legal Name | Etched.ai, Inc. |
| Headquarters | Cupertino, California, United States |
| Business Model | B2B |
| Founding Date | 2022 |
| No. of Employees | Approx 35 (As of 2024) |
Etched.ai’s flagship Sohu chip is a game-changer, built exclusively to supercharge transformer models powering today’s most innovative AI, such as GPT-4. Alongside powerful inference servers and a developer-friendly, open-source software stack, Etched.ai partners with industry leaders such as TSMC and Rambus to deliver blazing-fast, cost-effective, and energy-efficient AI hardware for the future.
| Gavin Uberti | Founder & Chief Executive Officer |
| Robert W. | Co-Founder & Chief Operating Officer |
| Chris Zhu | Co-Founder |
| Brian Loiler | Vice President, Platform & System Engineering |
| Ajat Hukkoo | Vice President, Hardware Engineering |
| Chensheng W. | Head of Supply Chain |
| Alexandra Boyle | Head of Financial Services |
The company primarily generates revenue through sales of its specialized Sohu AI chips and supporting AI inference server systems.
Client Segments: Enterprise AI teams, AI infrastructure providers, cloud platforms, and research institutions
Target Companies: AI-focused startups, cloud service providers, LLM developers, and enterprises deploying large-scale generative AI.
Target Geography: Headquartered in the U.S., with a global focus that includes North America and key partnerships in the Asia-Pacific region.