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MAX at 3.4–4.1x speedup over PyTorch Diffusers with up to 5.5x TCO savings on AMD MI355X.Mojo's Python-like syntax, strong type safety, and compile-time error catching shorten debug cycles for agent-generated GPU code. The skills enforce idiomatic patterns and correct outdated code, backed by over 750K lines of open-source Mojo kernel implementations that give agents a large reference base for writing portable kernels.
Teams running GPU workloads in CUDA can use the new skills to explore Mojo translation across hardware targets. FLUX.2 generation via MAX is available in cloud and enterprise tiers today.
AI coding agents are only as good as the foundation they build on. Our latest 26.2 release ships Mojo 🔥 coding agent skills, purpose-built for writing and porting GPU kernels. Point Claude or Cursor at a CUDA kernel, get idiomatic Mojo back. Also in this release: FLUX.2 image gen at 3-4x PyTorch Diffusers speed with a 4.1x cost savings on B200. See everything in 26.2 ↓ https://t.co/amHgrJK2rZ
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