XPU-Forces/mojo_opset

mojo_opset is a specialized collection of kernels for the emerging Mojo ecosystem. While the technical barrier to writing high-performance kernels in Mojo is non-trivial, the project shows very low adoption (17 stars) and stagnant velocity. The unusually high fork count relative to stars (30 forks) suggests it may have been used as a learning template or a workshop reference rather than a production library. The primary threat is Modular Inc. itself; as the creators of Mojo, they are incentivized to provide a 'standard library' of optimized kernels (through MAX/Mojo SDK), which would render third-party collections like this obsolete. Furthermore, established frameworks like vLLM (using Triton/CUDA) and llama.cpp (using C++/SIMD) represent the current industry standards for hardware-agnostic and high-performance inference, leaving little room for a small-scale Mojo-based alternative unless it offers a 10x performance breakthrough, which is not evident here. Platform domination risk is high because the project is entirely dependent on the success and direction of the Mojo language, which is controlled by a single commercial entity.