AI Chip Startup Etched Reaches $5B Valuation with $1B in Orders and $800M Funding Round

Jun 30, 2026

AI chip startup Etched has reached a $5 billion valuation and secured over $1 billion in contract orders for its specialized inference systems, designed to challenge Nvidia's dominance. Founded in 2022 by Harvard dropouts Gavin Uberti and Robert Wachen, the company has raised $800 million in total funding, including a $500 million round in December. Backed by major investors like Jane Street and Peter Thiel, Etched plans to ship its TSMC-manufactured chips to customers in summer 2026.

Etched $800M funding round

▪Etched has raised a total of $800 million in funding since the startup was founded in 2022.
▪Etched closed a previously unannounced $500 million funding round in December at a $5 billion post-money valuation.

Etched investor profile

▪Jane Street led a previously undisclosed funding round and added capital to bring its total investment in Etched to over $100 million.
▪Etched's institutional investors include VentureTech Alliance, Jane Street, Hudson River Trading, Two Sigma, Ribbit Capital, and Stripes.
▪Etched has secured angel investments from Peter Thiel, Stanley Druckenmiller, Andrej Karpathy, Geoffrey Hinton, Fei-Fei Li, Arthur Mensch, and Scott Wu.

Etched chip shipment timeline

▪Etched plans to begin shipping its first chips and server racks to some customers in the summer of 2026.
▪Taiwan Semiconductor Manufacturing Company successfully manufactured Etched's first chip earlier in 2026 using its N4P process.

Etched $5B valuation

▪Etched reached a valuation of $5 billion following its $500 million funding round in December.
▪Etched was founded in 2022 by Gavin Uberti and Robert Wachen, who dropped out of Harvard University and became Thiel fellows.

Etched $1B order backlog

▪Etched has booked over $1 billion in contract orders for its full chip systems, which it calls frontier inference clusters.
▪Etched's frontier inference clusters combine its specialized chips with custom-designed racks, software, and manufacturing methods to optimize AI inference.