FLINT Research Uses High-Bandwidth Flash to Extend LLM Inference Capacity

Researchers have proposed FLINT, an architecture that uses high-bandwidth flash to increase the model capacity available to single accelerators and small inference nodes. The approach targets workloads where limited on-package memory, rather than compute throughput, is the primary bottleneck. If practical, such a tier could complement HBM with denser and less costly storage while accepting lower performance for selected data.