Get the latest tech news
AMD MI300x GPUs with GEMM tuning improves throughput and latency by up to 7.2x
Optimising AI model performance: vLLM throughput and latency benchmarks and GEMM Tuning with rocBLAS and hipBLASlt
These libraries provide optimised implementations of GEMM operations along with a range of tuning parameters, allowing developers to fine-tune their applications and unlock the full potential of their underlying hardware, ultimately maximising vLLM performance. By optimising GEMM operations using rocBLAS and hipBLASlt libraries, we significantly enhanced the performance and efficiency of various large language models, including LLaMA, Mistral, Mixtral, and Falcon. By leveraging advanced tuning techniques, developers can unlock the full potential of their hardware, ensuring efficient processing and superior performance for complex and demanding AI workloads.
Or read this on Hacker News