China’s ByteDance, the parent company of TikTok, is reportedly developing its own artificial intelligence (AI) chip and is in discussions with Samsung Electronics to manufacture it.

The chip project, known internally as SeedChip, is designed primarily for AI inference tasks, the part of AI that applies pre-trained models to real-world data. According to Reuters, ByteDance aims to receive sample chips by the end of March 2026 and plans to produce at least 100,000 units this year. There is a plan and potential to scale production up to around 350,000 units in the long-run.
ByteDance said information about its in-house chip project was “inaccurate,” while Samsung declined to comment.
Why Samsung Matters
Samsung is one of the world’s largest semiconductor manufacturers and would be a significant partner for ByteDance. Ongoing talks include negotiations not just on manufacturing capacity, but also on access to memory chips, which have become increasingly scarce as global demand for AI compute grows.
Samsung’s advanced production technologies and experience in both logic chips and memory (like HBM, high-bandwidth memory) make it a strong collaborator for a company entering the chip space for the first time. If agreed, this collaboration would signal ByteDance’s ambition to build more of its AI infrastructure in-house rather than relying solely on external suppliers like Nvidia.
Part of a Broader Strategic Push
The AI chip initiative aligns with ByteDance’s much broader investment in AI, from building large language models to expanding cloud services and other AI-powered products. ByteDance is planning an AI procurement spend of more than 160 billion yuan (about $22 billion) in 2026, with significant portions earmarked for purchasing Nvidia chips and advancing its own semiconductor projects.
This effort is reminiscent of other global tech giants such as Google, Amazon, and Microsoft, which have developed custom AI chips to optimise performance while reducing reliance on dominant suppliers like Nvidia.
A Strategic Response to Supply Chain Realities
The move comes amid tight supply conditions in the AI chip market, shaped by several factors:
- Global demand for advanced AI processors is surging, and supplies are constrained, especially of memory and specialised inference accelerators.
- U.S. export controls on advanced chip sales to China have increased urgency for Chinese tech firms to build or secure alternative sources of compute, potentially making domestic or external manufacturing partnerships more attractive.
- Competitors within China, such as Alibaba and Baidu, have already launched or commercialised their own AI chips, intensifying pressure on ByteDance to catch up.
What This Means for the AI Chip Ecosystem
For ByteDance, developing its own AI chip could reduce ByteDance’s heavy dependence on external suppliers, especially Nvidia, and give it more control over costs and performance. It could also improve efficiency for AI workloads across its apps (like TikTok, Douyin, and enterprise services), potentially improving profitability and responsiveness.
For Samsung, a partnership could bring Samsung a major new AI chip customer, boosting utilisation of its foundry capabilities at a time when demand for advanced semiconductors is strong. It would further entrench Samsung’s role in the global AI semiconductor supply chain beyond memory products alone.
For the broader tech landscape, a move like this highlights how AI chipmaking has become strategic: not just a technical necessity, but a competitive differentiator among tech giants. It also underscores ongoing tensions in the global tech ecosystem, especially around supply chains, geopolitical constraints, and the race to achieve hardware autonomy in AI.
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