GLM5.2 on AMD MI355X

GLM5.2 on AMD MI355X is a deployment of the GLM5.2 language model on AMD's MI355X accelerators, achieving 2626 tokens per second per node. This setup reportedly delivers over 2x lower cost compared to NVIDIA's Blackwell architecture, making it a cost-efficient alternative for high-throughput AI inference. The benchmark was published by Wafer AI, indicating a real-world implementation rather than a theoretical proposal. This combination targets organizations seeking to reduce inference costs without sacrificing performance, particularly in data center environments. The evidence comes from a single blog post on wafer.ai, which provides specific performance numbers and cost comparisons. While the claims are concrete, independent verification is still limited. The solution appears to be aimed at enterprises running large-scale AI workloads who are exploring AMD hardware as a viable option against dominant NVIDIA offerings.

A blog post on Wafer AI announced benchmark results for GLM5.2 on AMD MI355X, highlighting high throughput and cost savings over Blackwell, sparking interest on Hacker News.