Why HBF Won't Replace HBM: Use Cases and Software Limits
AccBalanced · x · 2026-08-24
- Core Takeaway: HBF is not an HBM replacement and should only be used judiciously in specific high-value scenarios.
- Best Fits: Ideal for use cases with lower bandwidth demands where storing more weights cuts down networking overhead. Works well with MoE models (storing large models in HBF while moving smaller experts to HBM) and Expert Parallelism.
- Constraints: Current software layers do not support mixing HBM and HBF. It is not useful in high-bandwidth-demand environments.
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