Archality is building a weight-resident AI inference architecture that removes external memory movement from the compute path, eliminating one of the largest structural bottlenecks in modern AI systems.

BMAC embeds model weights directly within a persistent compute fabric, enabling deterministic, high-efficiency inference without reliance on HBM or external DRAM subsystems.

Designed for integration as a co-processor, chiplet, or licensable IP block, BMAC scales from edge deployments to datacenter environments while reducing power, infrastructure complexity, and supply chain dependence.

Archality is engaging semiconductor and cloud partners to bring memory-independent inference to production systems.

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