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Co-founder and CEO of Perplexity AI, an AI-powered search and answer engine competing with Google and OpenAI.
Perplexity CEO Aravind Srinivas says sovereign wealth funds want its Computer agent platform on their own hardware, with open-weight models and no telemetry. No fund, deal size or country is disclosed, so the evidence is the CEO's account of requests.
Reality
Portable Computer's harness is real engineering. The bill of materials starts at a $4,800 DGX Spark or a 24GB RTX card, which turns local agents into a hardware order.
Perspective Coverage
3 publishersReality
Perplexity moved its search serving tier from DynamoDB to CobbleDB, an in-house Rust store, and cut median batch reads from 31.4ms to 5.60ms. The cost case carries to other retrieval teams only at similar payload sizes and request rates.
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Perplexity's 4 September thread splits request preparation, batch scheduling and CUDA execution across two languages so each can change alone, with a 512-token fill threshold deciding when its batcher is worth the hop.
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The Information puts Perplexity's annualized revenue above $750m, up from under $250m in January, and the app user counts grew nowhere near that fast, which makes metered credits and enterprise seats the thing a buyer is actually pricing.
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The Information reports a valuation more than 50% above the last round, with a licensing arrangement considered alongside it. Buyers of AI search should read the roadmap as supplier-driven.
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A reported check into a company that rents its compute instead of buying GPUs pushes the circular financing question one step further from anything a filing will show.
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