Bytedance secures access to Nvidia Blackwell cluster in Malaysia, circumventing US export ban on China

· Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, short

Summary

ByteDance, the parent company of TikTok, is reportedly planning to establish a significant AI computing cluster in Malaysia, circumventing US export controls that prevent direct access to advanced Nvidia chips in China. The plan involves approximately 500 Nvidia Blackwell systems, equipped with around 36,000 B200 chips, with hardware costs exceeding $2.5 billion. This initiative, in collaboration with Southeast Asian firm Aolani Cloud, aims to support ByteDance's global AI research and development, as well as its growing portfolio of over a dozen AI applications. Malaysia, previously a hub for chip smuggling, has implemented a permit requirement for US high-performance chips since July 2025, ensuring the chips remain in the country and are not physically transferred to China. ByteDance is also exploring additional chip capacities in Indonesia to further its global expansion and compete with companies like Google and OpenAI.

Key takeaway

For Directors of AI/ML evaluating global infrastructure strategies, ByteDance's approach highlights a viable model for accessing advanced AI chips despite export restrictions. Consider establishing or expanding compute operations in compliant Southeast Asian nations like Malaysia or Indonesia through trusted cloud partners. This strategy allows for the utilization of high-performance Nvidia Blackwell chips for global AI development, mitigating geopolitical risks while adhering to international regulations.

Key insights

Chinese tech firms are establishing offshore AI infrastructure to bypass US export restrictions on advanced chips.

Principles

Method

Companies like ByteDance partner with tier-1 cloud providers in compliant nations (e.g., Malaysia) to lease computing power from US-restricted chips, ensuring hardware remains local.

In practice

Topics

Best for: Director of AI/ML, CTO, VP of Engineering/Data, Executive, Investor, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.