@yahyasalhinai97921

Building Theorem: a hand-tuned set of GPU kernels for the AMD MI300X. Today: re-wrote the gated DeltaNet WY-transform from an O(C²) elementwise loop into two MFMA GEMMs — 2.4× speedup. Wavefront-aware num_warps + L2 reordering + persistent kernels make CDNA3 sing. Building Theorem: a hand-tuned set of GPU kernels for the AMD MI300X. Today: re-wrote the gated DeltaNet WY-transform from an O(C²) elementwise loop into two MFMA GEMMs — 2.4× speedup. Wavefront-aware num_warps + L2 reordering + persistent kernels make CDNA3 sing. Building Theorem: a hand-tuned set of GPU kernels for the AMD MI300X. Today: re-wrote the gated DeltaNet WY-transform from an O(C²) elementwise loop into two MFMA GEMMs — 2.4× speedup. Wavefront-aware num_warps + L2 reordering + persistent kernels make CDNA3 sing.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.