For Chinese companies, there are no local alternative chip that is able is perform to Nvidia's robust architecture.
CUDA remains the default for most ML frameworks and workflows due to its long history, optimized libraries, and end-to-end tooling, which translates into faster time-to-results and lower engineering risk for production AI.
Bottom line: viable alternatives exist and are improving quickly, but CUDA’s ecosystem remains the most mature and operationally frictionless for AI in 2025.
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