Etched just raised another $700 million at a $21 billion valuation, nearly doubling its valuation from around $10.3 billion in less than a month.
But the headline valuation isn't the most interesting part.
Etched is building specialized AI chips and inference systems designed to challenge the economics of Nvidia for one of the fastest-growing parts of AI compute: inference.
And one of the most notable investors and customers is Jane Street.
In this episode, we break down what Etched is actually building, why inference could become an enormous AI compute market, and whether a $21B valuation can be justified.
⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.com
Key topics we explore:
– What Etched is actually building and why it is focused on AI inference
– Why specialized ASICs could compete with general-purpose GPUs
– How Etched's approach differs from Nvidia's GPU strategy
– Why Jane Street is both an investor and early customer
– Why Etched's valuation jumped from ~$10B to $21B in less than a month
– The opportunity and risks in the rapidly growing inference market
– Why specialized AI hardware could become increasingly important as AI workloads scale
– Whether Etched can become a meaningful Nvidia competiton—or carve out a specialized market of its own
The bigger question:
As AI inference becomes a larger share of global compute, will specialized chips challenge Nvidia's dominance?
For investors, the story isn't simply Nvidia vs. AMD anymore. The AI hardware ecosystem is becoming increasingly specialized—and the companies that can deliver more intelligence per dollar, per watt, and per second could capture enormous value.
LINKS
Prashant Choubey - https://www.linkedin.com/in/choubeysahab
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