AMD's MI355X Surpasses Nvidia's B300 in Cost-Effective AI Inference

AMD's MI355X has gained significant traction in the AI market by supporting Moonshot AI's Kimi K3 model, which boasts a massive 2.8 trillion parameters.

The model can be loaded onto eight Instinct MI355X GPUs on day one, leaving about 82.6 GiB of headroom per GPU after runtime state for one million-token sequence.

Although Nvidia's B300 may have an edge in raw speed, AMD's lower rental price makes it a more attractive option for inference tasks.

The Kimi K3 model is significant because it demonstrates that open-weight AI can run on multiple hardware platforms, including both Nvidia and AMD GPUs.