According to LatePost, ByteDance's AI chip team lead施云峰 has submitted a resignation request, with the company's latest-generation chips failing to meet performance expectations and remaining undeployed at scale across internal operations. ByteDance launched its AI chip initiative in 2019, pursuing a custom ASIC approach similar to Google's TPU to optimize computing efficiency for internal AI workloads. However, the company faces software ecosystem challenges—unlike Nvidia's mature CUDA toolchain, ByteDance's proprietary chips require extensive adaptation work across models, compute frameworks, and low-level software. Business units needing additional compute capacity opted for ready-made GPUs instead of debugging immature chips.

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