Parinita Orchestra
Sub-millisecond workload control — the brain that converts infrastructure into $175/seat/month.
Orchestra is the L5 workload control plane that answers the question Kubernetes can't: "this request needs AI inference — which hardware, at which site, for which tenant, within which SLA?" The answer must be correct and delivered in under one millisecond.
What it does
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Sub-ms workload routing
Per-request classification (inference vs GPU compute vs vector vs storage vs video vs edge), tenant identity, SLA budget, model locality, geographic affinity — all decided in under 1ms.
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Seat Splicer
Maps each $175 seat to a real Kubernetes namespace + ResourceQuota on the correct cluster, plane, and POP — every seat a sliced, isolated, addressable, billable unit.
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Ray-powered multi-plane scheduling
Distributed scheduler is GPU-aware and model-locality-aware, scheduling work across the nine planes with awareness of where weights are already cached.
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Three-tier capacity
50% committed → 35% burst → 15% hot-spare overflow. When committed fills, hot spares promote in under 30 seconds via Maestro; when those fill, inter-POP overflow rides noBGP + Corridor.
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Built-in metering and billing
m3ter for usage metering, Stripe for invoicing — every routing event captured, aggregated, and billed automatically. No manual reconciliation.
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Chrysalis-anchored decisions
Every routing decision, SLA event, overflow promotion, and failover anchors to Chrysalis as an immutable operational record.
How it works
Orchestra deploys as a distributed system — a per-site agent (autonomous under central failure) plus a central control plane for fleet-wide coordination. Core components: API Gateway (Kong) for TLS / auth / rate limits, Workload Router for sub-ms classification, SLA Engine (Redis) for per-tenant quota and burst, Identity Router for cross-plane traffic via noBGP, Distributed Scheduler (Ray, GPU + model-locality aware), Lifecycle Manager (via Maestro), Capacity Engine, Compliance Engine for data residency, Observability Hub, and Customer Portal.
Every $175 seat purchase maps through the Seat Splicer to a real K8s namespace + ResourceQuota on the correct cluster, plane, and POP, with the correct identity. m3ter captures usage, Stripe invoices monthly — no manual reconciliation, no surprise bills.
Overflow is automatic: committed capacity full → hot spares promote in under 30 seconds via Maestro; those full → inter-POP overflow to the nearest same-plane POP via noBGP and Corridor. Every decision, SLA event, and failover anchors to Chrysalis.
When to use it
- Operators selling seat-based AI capacity who need a real-time control plane between buyer intent and physical scheduling.
- Multi-site GPU fleets that need per-tenant SLA enforcement and automatic cross-site overflow.
What it isn’t
A general-purpose load balancer. Orchestra knows the 9-plane fabric intimately; outside it, an L7 LB will be the right tool.
Related products
Part of the Parinita AI Edge
Bring Parinita Orchestra into your stack.
Every Parinita product runs on the same 9-plane fabric across 101 edge POPs. Talk to us about a pilot, or see how the pieces fit together.