PyTorch Day China 2025

In the past two years, the Triton language has become the second most popular AI operator development language in the industry after CUDA C. Although there is still a gap in popularity compared to CUDA C, due to its open-source compiler ecosystem.
However, the current compilers supporting the Triton language still fail to support multiple hardware architectures in the main community. As a result, each hardware manufacturer has to maintain its own version of the Triton compiler separately, which brings new difficulties to upper - layer users, such as inconsistent compiler versions and functional differences.
To address this issue, we have created the FlagTree open - source project and ecological community that support the Triton language. We are committed to building an open - source and unified AI compiler for a variety of AI chips. By unifying the multi - backend compiler, we aim to build an ecosystem that can support other chip hardware architectures (such as GPGPU, DSA, and RISC - V AI), thus enabling cross - platform operation.