ParallelIQ

Paralleliq is a model-aware optimization layer for AI inference infrastructure. It continuously detects GPU waste — misplaced models, underutilized capacity, OOM risk, fragmentation — and surfaces fixes for a human operator to approve and execute, with a full audit trail. It works on top of whatever infrastructure a team already runs.