Posts by Ravi Gupta
DI Series: Serving Kimi-K3 MXFP4 Wide-EP Disaggregated on AMD Instinct MI300X and MI325X
- 08 October 2026
This post is part of the AMD Disaggregated Inference (DI) Blogs Series, which takes frontier open models from a single-node demo to production, multi-node serving on AMD Instinct™ GPUs
DI Series: Scaling GLM-5.1-FP8 to 64 MI300X GPUs
- 21 August 2026
Serving a frontier Mixture-of-Experts (MoE) model well is a systems problem, and it gets harder the moment one node is not enough. GLM-5.1 is a good example: it is a large, sparse MoE that users want to run at long context, and it ships a new attention family that breaks assumptions older serving stacks quietly relied on. Fitting it on eight GPUs is only the start. The real question is how to keep it correct and fast as you spread it across several nodes.