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Yuzu Xu's avatar

The agent-era framing shifts how to think about CXMT's market fit.

Frontier inference still needs HBM bandwidth from Micron/Samsung/SK Hynix. But yesterday's Kimi K2.6 release showed a different demand pattern: a 13-hour autonomous run using 300 parallel agents doing long-context work over hours. At that scale and duration, the relevant bottleneck shifts from peak HBM bandwidth to sustained memory throughput at reasonable cost per hour.

CXMT sits better for that tier-2 workload. Distillation, fine-tuning, longer-context batch inference, and multi-agent coordination don't need the same bandwidth as single-pass frontier inference. They need cost-effective gigabytes at acceptable latency.

The more interesting question may not be whether the US buys from CXMT but whether Chinese AI labs buy from CXMT. If 300-agent autonomous workflows become the norm, CXMT's domestic TAM could matter more than its export prospects.

More on K2.6's infrastructure implications in today's China AI Dispatch (chinaaidispatch.substack.com/p/300-agents-and-a-price-hike)

iGreaterChina's avatar

The question is less whether the US ‘should’ and more whether the memory cycle makes selective dependence economically irresistible before it becomes politically unacceptable.

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