AMD Radeon AI PRO R9700 Performance Tested with ROCm 7.2
qwen
| Source: Mastodon | Original article
AMD Radeon AI PRO R9700 tests LLM performance with ROCm 7.2. Results show input/output tokens per second and VRAM usage.
Large Language Models (LLMs) have been put to the test on AMD's Radeon AI PRO R9700, a high-performance graphics card with 32GB of VRAM, using the ROCm 7.2 platform. The results show varying levels of performance for different LLM configurations, with input/output tokens per second and VRAM usage measured at a 128k context length.
This matters because it highlights the ongoing efforts to optimize LLM performance on various hardware configurations, which is crucial for their adoption in real-world applications. As we have previously reported, the adoption of LLMs in science follows an inverted-U curve, and understanding their performance on different hardware is essential for their effective use.
What to watch next is how these findings will influence the development of LLMs and their deployment on AMD hardware. As researchers and developers continue to explore the capabilities and limitations of LLMs on different platforms, we can expect to see further optimizations and improvements in their performance.
Sources
Back to AIPULSEN