Large clusters for small models — Daniel Svonava, Superlinked
Small open-source models can match or beat frontier performance on specific tasks at far lower cost.
“actually for specific tasks you can be at frontier or beyond frontier performance”
Superlinked's Daniel Svonava argues that small open-source models fitting on a single older Nvidia GPU are now catching up to frontier models, which face diminishing returns. For task-specific workflows, self-hosted small models can reach frontier-level quality while delivering orders-of-magnitude cost savings and latency gains, all on an open, ownable stack.