Creating custom kernels for the AMD MI300

Custom Kernels for All from Codex and Claude

🤗 Kernels: Major Updates

Introducing the AMD 5th Gen EPYC™ CPU

From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels

Hugging Face on AMD Instinct MI300 GPU

Easily Build and Share ROCm Kernels with Hugging Face

Fine-Tune MMS Adapter Models for low-resource ASR

MKEvolve: A Modular Multi-Agent Framework for Kernel Code Generation

arXiv:2607. 20501v1 Announce Type: new Abstract: Despite rapid progress in LLM-based code generation, writing correct and performant kernels for hardware accelerators remains a key bottleneck in scaling modern ML workloads.

Towards Automated Kernel Generation in the Era of LLMs

arXiv:2601. 15727v3 Announce Type: replace Abstract: The performance of modern AI systems is fundamentally constrained by the quality of their underlying GPU kernels, which translate high-level algorithmic semantics into low-level hardware operations.

MPK: A Compiler and Runtime for Mega-Kernelizing Tensor Programs

arXiv:2512. 22219v2 Announce Type: replace-cross Abstract: We introduce Mirage Persistent Kernel (MPK), the first compiler and runtime system that automatically transforms multi-GPU model inference into a single high-performance mega-kernel.

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts

arXiv:2605. 30359v2 Announce Type: replace-cross Abstract: Generating high-performance GPU kernels remains challenging due to the need for both correctness and hardware-aware optimization.

TileFuse: A Fused Mixed-Precision Kernel Library for Efficient Quantized LLM Inference on AMD NPUs

arXiv:2606. 11357v1 Announce Type: cross Abstract: With the growing demand for on-device LLM inference, edge SoCs increasingly integrate NPUs to improve performance and energy efficiency under tight power and thermal budgets.