AMD ROCm 6.2.3 Brings Llama 3 And SD 2.1 To Radeon GPUs
AMD recently published AMD ROCm 6.2.3, the most recent version of their open compute software that supports Radeon GPUs on native Ubuntu Linux systems
The most recent version of Llama is officially supported by vLLM. AMD ROCm on Radeon with Llama 3 70BQ4 offers amazing inference performance
Flash Attention 2 “Forward Enablement” is officially supported. Its purpose is to speed up inference performance and lower memory requirements
Optimized AI/ML Framework Compatibility: ROCm 6.1 improved PyTorch and TensorFlow performance. This improved mixed precision training, which maximizes GPU utilization in deep learning
Experimental HIP Tensor Cores support allowed AI models to use hardware-accelerated matrix operations. This improvement greatly accelerated matrix multiplication, which is essential for deep learning
Expanded Container Support: AMD included pre-built Docker containers that were easier to connect with Kubernetes in ROCm 6.1, simplifying cloud and cluster deployment
Multi-GPU Optimizations: Unified memory support, RDMA, and AMD Infinity Architecture improved multi-GPU deployments, which are essential for HPC and large-scale AI training