New benchmark results from
@weka and Nebius show the impact of shared KV caching on sustained agentic inference.
Running on
@nvidia HGX B300 instances in Nebius AI Cloud, WEKA’s Augmented Memory Grid served 2.4× more requests than HBM-only while keeping median time to first token near one second.
Worth a read for anyone working through the infrastructure demands of long-context agents: