Nvidia competitor Etched hits $5B valuation, $1B in sales for AI chip
TechCrunch
β’Tue, 30 Jun 2026 18:13:02 +0000
π° What Happened
Etched, an Nvidia competitor in the AI chip space, announced that it has booked $1 billion in contract orders for its AI inference systems and has reached a $5 billion post-money valuation. The startup, founded in 2022, has raised a total of $800 million to date, with the most recent tranche being an unannounced $500 million round closed in December at a $5 billion valuation. TSMC successfully manufactured Etched's chip earlier in 2026, and the company is now testing its first product β called 'frontier inference clusters' β with customers. These systems bundle Etched's chips with custom-designed racks and software to run AI model inference faster, cheaper, and more efficiently than competitors. Etched's investor list is notable, including VentureTech Alliance, Jane Street, Hudson River Trading, Two Sigma, Ribbit Capital, Stripes, and AI luminaries such as Andrej Karpathy, Geoffrey Hinton, Fei-Fei Li, Arthur Mensch, and Scott Wu. Billionaire investors Stanley Druckenmiller and Peter Thiel are also on the cap table.
π The Backstory
Nvidia currently dominates the AI chip market with its GPUs, commanding over 80% market share. However, a wave of startups including Etched, Groq, Cerebras, and Graphcore are developing specialized AI accelerators designed for specific workloads. Etched focuses specifically on inference β the computationally intensive process of running AI models to generate responses after they've been trained. CEO Gavin Uberti and president Robert Wachen have been publicly discussing their chip plans since 2023, positioning Etched as a specialist that can outperform Nvidia's general-purpose GPUs on inference tasks. The involvement of AI pioneers like Geoffrey Hinton (Godfather of AI') and Fei-Fei Li (creator of ImageNet) as angel investors adds significant credibility.
π― Why It Matters
Etched's rapid growth challenges Nvidia's near-monopoly on AI hardware. The AI inference market β the process of running trained models to serve user requests β is projected to become larger than the training market as AI applications scale. Etched's custom chips designed specifically for inference could fundamentally reshape the economics of AI deployment. With $1 billion in orders before full production, the startup has captured significant customer confidence.
Etched, an Nvidia competitor in the AI chip space, announced that it has booked $1 billion in contract orders for its AI inference systems and has reached a $5 billion post-money valuation. The startup, founded in 2022, has raised a total of $800 million to date, with the most recent tranche being an unannounced $500 million round closed in December at a $5 billion valuation. TSMC successfully manufactured Etched's chip earlier in 2026, and the company is now testing its first product β called 'frontier inference clusters' β with customers. These systems bundle Etched's chips with custom-designed racks and software to run AI model inference faster, cheaper, and more efficiently than competitors. Etched's investor list is notable, including VentureTech Alliance, Jane Street, Hudson River Trading, Two Sigma, Ribbit Capital, Stripes, and AI luminaries such as Andrej Karpathy, Geoffrey Hinton, Fei-Fei Li, Arthur Mensch, and Scott Wu. Billionaire investors Stanley Druckenmiller and Peter Thiel are also on the cap table.
Nvidia currently dominates the AI chip market with its GPUs, commanding over 80% market share. However, a wave of startups including Etched, Groq, Cerebras, and Graphcore are developing specialized AI accelerators designed for specific workloads. Etched focuses specifically on inference β the computationally intensive process of running AI models to generate responses after they've been trained. CEO Gavin Uberti and president Robert Wachen have been publicly discussing their chip plans since 2023, positioning Etched as a specialist that can outperform Nvidia's general-purpose GPUs on inference tasks. The involvement of AI pioneers like Geoffrey Hinton (Godfather of AI') and Fei-Fei Li (creator of ImageNet) as angel investors adds significant credibility.
Etched's rapid growth challenges Nvidia's near-monopoly on AI hardware. The AI inference market β the process of running trained models to serve user requests β is projected to become larger than the training market as AI applications scale. Etched's custom chips designed specifically for inference could fundamentally reshape the economics of AI deployment. With $1 billion in orders before full production, the startup has captured significant customer confidence.