The design targets memory speed bottlenecks by avoiding dependence on the high-bandwidth memory (HBM) that currently limits GPUs. General Compute believes the demand for fast inference for open-source models will exceed supply for the next 10 years, making this approach critical for the development of always-on AI agents and multi-agent systems.
