Posts by Onil Gunawardana

DI Series: Scaling GLM-5.1-FP8 to 64 MI300X GPUs

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.

Read more ...


Introducing AMD ROCm™ Infera: Scaling Goodput for Agentic AI with Distributed Inference Orchestration

Today we are introducing AMD ROCm™ Infera, a distributed inference reference solution for large-scale deployments. Infera is a conductor for your inference GPU orchestra. Initial internal testing shows that Infera can improve goodput per GPU for realistic agentic workloads by up to 2.6×, as detailed below. Built for AMD Instinct™ GPUs, Infera is open source from day one, and the code is available at github.com/AMD-AGI/Infera.

Read more ...