Etched announced a new funding round of $700 million, which has doubled its valuation to $21 billion. This investment was led by Jane Street, a quantitative trading firm, which had previously tested and acquired Etched's AI hardware. This marks a rapid increase in valuation for the company, which was valued at $10.3 billion in July and $5 billion in December.
Etched develops full AI systems, referred to as "frontier inference clusters," which are designed to accelerate the AI inference process. Inference involves two main stages: prefill, where the system understands the user's prompt, and decode, where it generates the output. Etched has developed new components to optimize both stages.
For the prefill phase, Etched created a low-voltage chip that allows for a higher density of transistors without overheating, enabling faster token processing. For the decode phase, the company developed a new type of memory and an interconnect system called cluster-scale memory. This technology allows multiple chips to connect and share a fast, low-latency memory pool, which Etched states results in higher speeds and reduced costs for AI workloads.
Etched has clarified that its systems are capable of running any frontier AI model, dispelling an earlier perception that its chips were custom-designed for specific models. The investment from Jane Street, based on their positive testing results, indicates confidence in Etched's approach to delivering precision for demanding AI workloads.
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AI hardware startup Etched secured an additional $700 million in funding, bringing its valuation to $21 billion, led by Jane Street. This rapid increase in valuation, doubling in one month, is driven by investor interest in Etched's specialized hardware for AI inference, which promises higher speeds and lower costs.