Oct 10, 2025

Tags: easydiffusion, sdkit, compilers

Some notes on machine-learning compilers, gathered while researching tech for Easy Diffusion’s next engine (i.e. sdkit v3). For context, see the design constraints of the new engine.

tl;dr summary

The current state is:

1. Vendor-specific compilers are the only performant options on consumer GPUs right now. For e.g. TensorRT-RTX for NVIDIA, MiGraphX for AMD, OpenVINO for Intel.
2. Cross-vendor compilers are just not performant enough right now for Stable Diffusion-class workloads on consumer GPUs. For e.g. like TVM, IREE, XLA.

The focus of cross-vendor compilers seems to be either on datacenter hardware, or embedded devices. The performance on desktops and laptops is pretty poor. Mojo doesn’t target this category (and doesn’t support Windows). Probably because datacenters and embedded devices are currently where the attention (and money) is.