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INDUSTRY REPORTMoonshot AI (Kimi)2026-07-29

How Moonshot AI Obtained Prohibited Nvidia Blackwell Chips for Kimi K3 Training

Key Takeaways

  • ▸Moonshot AI trained Kimi K3 using prohibited Nvidia Blackwell chips obtained through Chinese datacenter operators, demonstrating effective workarounds to U.S. export controls
  • ▸Chinese firms engineered cross-datacenter server clustering to pool scarce Blackwell inventory, showing technical sophistication in circumventing restrictions
  • ▸Homegrown Chinese AI chips lag 1-2 generations behind Nvidia, creating competitive pressure and strong incentives to access restricted hardware
Source:
Hacker Newshttps://www.tomshardware.com/tech-industry/artificial-intelligence/chinas-moonshot-ai-reportedly-used-nvidia-blackwell-chips-for-training-kimi-k3-company-circumvented-both-u-s-export-and-chinese-import-controls-to-acquire-compute↗

Summary

Chinese AI startup Moonshot AI reportedly used Nvidia's restricted Blackwell chips to train its recently released Kimi K3 frontier language model, circumventing U.S. export restrictions through arrangements with Chinese firms operating Blackwell-equipped datacenters. According to The Information, Moonshot had to engineer a workaround by linking multiple eight-chip Blackwell servers across different datacenters to obtain sufficient computing power, as individual facilities lacked adequate inventory.

The company's strategy highlights a broader pattern of Chinese AI firms finding creative solutions to U.S. chip export controls. For Kimi K3 inference, Moonshot relies on Nvidia's China-legal H20 chips, though it has reportedly already exhausted capacity and created a waiting list. The firm is now positioning for Kimi K4 development and seeking additional Blackwell access through similar arrangements.

The case underscores tensions in the U.S.-China AI arms race and exposes gaps in current enforcement mechanisms. While the U.S. Department of Commerce investigates whether Chinese firms are accessing advanced chips, industry sources note that Chinese AI accelerators remain one to two generations behind Nvidia's offerings, creating strong incentives to circumvent restrictions. The White House has flagged potential loopholes in chip rentals, with proposed legislation like the Remote Access Security Act intended to close the gap.

  • U.S. enforcement challenges remain significant, with rental loopholes and cross-border access complicating efforts to contain advanced chip distribution

Editorial Opinion

The Moonshot AI case reveals a critical gap between U.S. export control policy and enforcement reality. While restricting chip sales to Chinese firms is strategically sound, resourceful companies can circumvent bans through supply chain engineering and rental arrangements—suggesting that hardware containment alone is insufficient to maintain competitive advantage. If China's firms can consistently access cutting-edge chips through proxies and remote arrangements, export restrictions may slow but not stop their progress toward parity with Western AI leaders.

Large Language Models (LLMs)AI HardwareMarket TrendsRegulation & Policy

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