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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

  • 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.

  • 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.

  • 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.

  • 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.

  • Built-in metering and billing

    m3ter for usage metering, Stripe for invoicing — every routing event captured, aggregated, and billed automatically. No manual reconciliation.

  • 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.

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.