CoreWeave Performance Tuning

Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.

Overview

Tune GPU inference or training only against measured throughput, latency, quality, availability, and cost targets. A higher utilization figure is not a success if it causes queueing, memory pressure, or a customer-facing SLO regression.

Prerequisites

• A baseline for p95/p99 latency, throughput, error rate, GPU memory, and utilization.
• A representative non-sensitive evaluation set and a named owner for the SLO.
• A staging lane and a rollback manifest for every resource or serving change.

Instructions