High-performance GPU tensor quantization and inference engine for AMD ROCm. Native AOT GEMV (K-Quants & I-Quants), State Space Model (SSM/DeltaNet) kernels, FP8 WMMA WaveAttention, and portable HIP C++ kernels for RDNA4, RDNA3, and CDNA.
Friendly Python wrapper for gpu-smi (AMD GPU reporting): objects for beginners, raw JSON + serve client for power users
Ultra-fast, high-fidelity block-wise INT8 feature & pixel cache engine for ML pipelines
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