How Chinese AI companies bypass US chip restrictions by transporting hard drives with AI training data to Malaysian data centers housing advanced Nvidia chips
Engineers carry data to countries where Nvidia chips are available, frustrating Washington's aims
Context & Ripple Effects
This is a shift from earlier workarounds centered on obtaining chips: related coverage described supply-chain channels moving advanced Nvidia chips into China and brokers arranging access to top hardware. Here, the training workload—not necessarily the chips—crosses the border.
It matters because offshore compute access can preserve use of advanced Nvidia systems while placing the physical hardware in Malaysia. Earlier reporting that China-based customers could rent A100 and H100 cloud capacity at lower cost underscores why remote capacity is a practical alternative to direct ownership.
First-order effects
- Chinese AI teams can train on advanced Nvidia-equipped Malaysian data centers by physically moving training data there, reducing the immediate constraint imposed by chip-access limits.
- Malaysian data-center capacity housing advanced Nvidia chips becomes a direct conduit for demand from Chinese AI companies, while Washington's restrictions face a less direct path to enforcement.
Second-order effects
- Cloud providers, data-center operators, and intermediaries in permitted locations gain incentive to serve cross-border AI workloads; demand shifts toward jurisdictions that can host the hardware even when customers cannot import it.
- Enforcement pressure is likely to extend beyond chip shipments toward who operates and accesses offshore compute, because prior brokered access to top AI chips shows participants can adapt through multiple channels.
Third-order effects
- If this pattern persists, export controls aimed chiefly at physical chips may increasingly be tested by the separability of data, operators, and compute location—making access to AI infrastructure a regional-service issue rather than solely a trade issue.
- The result could be a more geographically distributed AI-compute market, in which locations with deployable advanced hardware become strategic intermediaries; its durability depends on whether rules and providers can constrain remote use without broadly restricting legitimate cloud services.
The trend: This is one instance of AI access arbitrage, in which restrictions on advanced hardware redirect model-training demand to offshore compute hubs rather than eliminating it.