88Z AI, 1 July — Transformer-specific AI chip startup Etched has completed the tape-out of its A0 chip, securing $800 million in funding and $1 billion in customer orders. Founded by a Harvard dropout, the company is backed by AI luminaries including Karpathy, Li Fei-Fei, and Hinton. Etched has launched its first rack product, utilizing Low Voltage Inference and Cluster-Scale Memory technologies optimized for trillion-parameter MoE model inference, with shipments planned for this summer.
At a glance
- Etched completes A0 chip tape-out, securing $800M funding and $1B in orders
- First rack product uses LVI and CSM tech, optimized for trillion-parameter MoE inference
The update
Etched, an AI chip startup focused on the Transformer architecture, recently announced that its first A0 chip has successfully completed tape-out. Concurrently, the company closed an $800 million funding round and secured $1 billion in customer orders. Founded by a Harvard dropout, Etched boasts an impressive investor lineup featuring prominent AI experts such as Karpathy, Li Fei-Fei, and Hinton. On the hardware front, Etched has launched its first rack-based solution. This product integrates two core technologies: Low Voltage Inference and Cluster-Scale Memory, specifically deep-optimized for inference of Mixture of Experts models with trillion-level parameters. According to plans, this series of products will be officially delivered to customers this summer.
Sources & editorial note
This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.
- 量子位Source published
Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.