SiFive and AMD demonstrated AMD ROCm running on SiFive's BigSky Datacenter Development Platform, showcasing the Gemma4-E2B LLM model with SiFive P870-D CPUs and AMD Radeon AI PRO R9700 GPUs. The collaboration aims to optimize ROCm on RISC-V powered servers to accelerate datacenter AI compute workloads.
A Windows project enables CUDA-targeted applications to run on AMD GPUs using ZLUDA and ROCm/HIP compatibility layers. The stack has been validated on AMD Radeon RX 9060 XT and successfully runs LibTorch workloads including neural-network inference and reinforcement-learning training, though compatibility depends on which CUDA APIs and libraries each application uses.