DeepSeek-V4-Flash on AMD MI300X Faces Software Barriers
TL;DR. Engineers detailed the significant software hurdles when running DeepSeek-V4-Flash LLM on AMD MI300X AI accelerators, despite the hardware's competitive specs. - Core issues include incompatible FP8 data dialects and missing attention fast paths in AMD's software stack. - This worklog highlights the technical challenges in optimizing LLM inference on non-Nvidia hardware. - AMD's newer MI325, MI350, and MI355X chips address some of these FP8 compatibility problems.
- Running DeepSeek-V4-Flash on AMD MI300X requires extensive custom engineering due to software immaturity.
- The MI300X's distinct FP8 dialect is incompatible with prevalent AI model standards, necessitating workarounds.
- Lack of optimized low-level kernels and HIP graph support hinders efficient LLM inference on AMD hardware.
- Newer AMD accelerators (MI325, MI350, MI355X) have adopted the industry-standard FP8 format.
Sources
- Bringing Up DeepSeek-V4-Flash on AMD MI300X — fergusfinn.com