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In Google’s own tests, moving Qwen3’s KV cache took about 230 milliseconds with TPU Sync instead of several seconds, though Google warns the library’s APIs still change fast. Would you put a library with fast-changing APIs in production, or wait for stable?
A regulated firm running agents on its most sensitive data has to unlock it in memory to compute. Google’s TPU 8tx keeps that data and the model weights protected even while in active use. Would you trust hardware encryption with sensitive data, or keep it off the cloud?
Per the Financial Times, Anthropic struck a $3.4 billion deal to generate gas-fired power for data centers. Its IPO filing lists about $895.4 billion in commitments and leases. Would gas-fired power behind an AI lab change which models you use, yes or no?
