One optimization layer, from detection to remediation.
Not three products — one pipeline. Detect what's wrong, decide and fix it with a human in the loop, at the scale of your entire fleet.
Paralleliq is one optimization layer that runs this loop continuously. It starts with Prometheus — reading from your existing Prometheus if you already run one, or a scoped, self-contained Prometheus we stand up for you if you don't — to map every vLLM and KServe deployment in your fleet to the hardware it's running on. Because discovery rides on Prometheus rather than a runtime's own proprietary API, extending to other runtimes and hardware — SGLang included — is a matter of adding metric mappings, not rebuilding the pipeline. Every finding becomes a recommendation with its dollar impact shown up front; nothing executes until an operator approves it, and every approved change is reversible and logged under a named operator. And because it was built to run this way from the start, the same loop covers one cluster or every cluster you operate — including your customers' — in a single view.
- 1Auto-discovers vLLM and KServe deployments today
- 1Understands model-hardware fit — not just GPU utilization
- 1Real-time safety signals: KV cache pressure, OOM risk, queue depth
- 1Deeper performance and structural analysis — zero added load on workloads
- 1Prometheus-based by design — extendible to SGLang and other runtimes and hardware as they're added
- 1Reads from your existing Prometheus, or a scoped one we stand up if you don't have it
- 2Dollar-impact framing per finding — margin recovery for providers, cost reduction for teams
- 2Blast radius preview before any change executes
- 2Operator approval queue with role-based controls
- 2Immutable audit trail — every decision logged under a named operator
- 2One-click rollback for any approved action
- 3Multi-cluster, multi-cloud, multi-region in one view
- 3Covers your clusters and your customers' clusters equally
- 3Findings attributed to workload, customer, and cluster automatically
- 3Cost and capacity intelligence across the full fleet