Apr. 22 at 11:20 PM
$GOOGL just made it very clear: AI infra is no longer one market — it’s two. And the split is accelerating.
They rolled out TPU 8t (training) and TPU 8i (inference), and the efficiency gains are not incremental — they’re aggressive:
• TPU 8t → +124% perf/watt (training just got cheaper to scale)
• TPU 8i → +117% perf/watt, ~80% better perf/$ (this is the real unlock)
Translation: the bottleneck is shifting. Training remains capital-heavy, but inference — agents, real-time reasoning, production AI — is where margins and scale explode.
This isn’t just a product update. It’s a signal.
If inference cost curves keep collapsing, demand doesn’t grow linearly — it expands exponentially. More apps, more usage, more compute cycles consumed.
Market still pricing AI like it’s training-constrained. That’s outdated.
Watch who benefits downstream:
cloud, data centers, memory, power.
$GOOGL isn’t chasing — they’re shaping the next phase.
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