In a first podcast appearance, Anthropic CFO Krishna Rao lays out how the AI lab scaled from about $250M in run-rate revenue two years ago to roughly $30B by early 2026—driven by a ruthless “compute” strategy. He describes long-horizon planning, multi-vendor chip bets across Trainium, TPUs, and GPUs, and why interpretability and safety research is now boosting enterprise trust and retention.
Speculation claimed Anthropic held back broad access to Claude Mythos due to insufficient compute. But CEO Dario Amodei disputes that explanation, saying restrictions were not driven by resource limits. The remarks shed new light on how Anthropic is planning release strategies and managing demand for its next-generation model—without the compute bottleneck many expected.
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Tsavorite, an AI compute startup, raised $5 million from Hyderabad VC Pavestone to build a full-stack compute platform spanning edge devices, enterprises, and data centres. The company is developing an “omni processing unit” that bundles compute, memory, and connectivity, aiming to reduce redundant data movement and lower power, cost, and complexity. Tsavorite also claims around $100 million in pre-orders.
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