Prima Labs describes a self-driving inference stack for agent workloads

Prima Labs describes a self-driving inference stack that observes live agent traffic, according to Prasanna Balaprakash of Prima Labs, as reported by LMSYS Org on X. The stack searches configurations across scheduling, KV cache and kernels, and checks correctness before deploying them.

The only source is a single X post relaying Balaprakash's description. The post reports no benchmarks, performance figures or deployment results.