Parinita Orchestra
The Orchestration Platform for Heterogeneous AI Infrastructure
One control plane. Any accelerator. Any scale.
Orchestra sits above Kubernetes (any distro), above your network fabric (any vendor), and above your accelerators (any type) — providing a single control plane that classifies every workload, routes it to the optimal hardware, enforces tenant isolation, and manages the full lifecycle across any number of sites.
AI Infrastructure Is Broken
Every enterprise building AI infrastructure faces the same dilemma. They start with a single GPU type and a single orchestration layer. Then reality sets in: inference workloads don't need $30,000 training GPUs, video processing needs hardware encoders, and vector search needs high core count — not high FLOPS.
Enterprises end up with fragmented clusters, duplicated management tooling, inconsistent security policies, and no unified view of capacity across heterogeneous hardware. They're spending more time managing infrastructure than running AI workloads.
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The GPU Monoculture Trap
Start with one GPU type, one orchestration layer, and watch reality set in. Inference workloads don't need $30,000 training GPUs. Video needs hardware encoders, not tensor cores. Storage needs RDMA, not PCIe. Every new accelerator becomes another silo with its own drivers, scheduler quirks, and failure modes.
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Kubernetes Wasn't Built for This
Kubernetes is an excellent container orchestrator. It was never designed to be an AI workload router. Label selectors don't classify requests, device plugins don't span vendors, and ResourceQuotas don't enforce per-tenant SLAs. Enterprises end up building custom glue that's fragile, expensive, and impossible to hire for.
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The Market Gap
Hyperscaler clouds: fully managed, fully opinionated — their GPUs, their networking, their pricing. DIY on bare metal: full control, full responsibility — every enterprise reinvents the same orchestration layer. Orchestra is the missing middle: bare-metal control with managed-platform simplicity.
Everything you need to operate heterogeneous AI infrastructure.
Orchestra does not replace Kubernetes. It does not replace your network switches. It does not replace your monitoring stack. It orchestrates all of them as a single, coherent AI platform.
Classifies every API request by workload type and routes to the optimal hardware plane in real time. Replaces custom request routers, manual affinity rules, and ad-hoc scheduling scripts.
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Workload-Aware Routing
Classifies every API request by workload type and routes to the optimal hardware plane in real time. Replaces custom request routers, manual affinity rules, and ad-hoc scheduling scripts.
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Unified Control Plane
Single API and dashboard to manage clusters across all accelerator types and all sites. Replaces per-cluster dashboards, vendor-specific consoles, and fragmented tooling.
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Identity-Based Networking
Routes cross-plane traffic by tenant + service + workload identity, not IP prefixes. Replaces static ACLs, manual VLAN management, and firewall rule sprawl.
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Multi-Layer Tenant Isolation
Four independent isolation layers: network VNIs, identity routing, firewall inspection, and K8s eBPF. No single point of compromise.
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SLA Enforcement
Per-customer, per-resource-type rate limiting and quota management in real time. Configurable overflow: queue, burst pool, geographic overflow, or reject with retry guidance.
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Distributed Scheduling
Cross-plane task graphs via Ray. Inference + RAG + storage in a single pipeline. Decompose compound workloads and dispatch each sub-task to the appropriate plane.
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Capacity Intelligence
Three-layer protection: burst pools, spare hardware management, and cross-site mesh routing with automatic failover. No more manual capacity planning.
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Compliance-as-Code
Data residency enforcement, audit logging, CIS/STIG profiles at the routing layer. FIPS 140-2, FedRAMP, CJIS, IL4/IL5, HIPAA, SOC 2 Type II support.
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Unified Observability
Telemetry from five layers: hardware, network, Kubernetes, orchestration, and business. Cross-layer correlation from API gateway to silicon in a single trace.
The Plane Model
Orchestra introduces "planes" — logical groupings of hardware optimized for a specific workload class. Unlike Kubernetes node pools, planes represent fundamentally different hardware architectures with different drivers, network requirements, and scheduling semantics.
The plane model is what makes Orchestra different from every other orchestration tool. Kubernetes sees nodes. Orchestra sees purpose-built hardware tiers and routes workloads accordingly.
Sub-millisecond routing. Eight routing dimensions.
Orchestra's Workload Router operates in the API gateway hot path. Every request is parsed, classified, quota-checked, and routed in under one millisecond.
- 01Workload typeAPI path + payload analysis determines which plane handles the request
- 02Tenant entitlementsWhich planes is this customer authorized to use?
- 03Real-time quotaHas this tenant exceeded their rate limit or concurrency cap?
- 04Hardware availabilityWhich nodes on the target plane have capacity?
- 05Model localityIs the required model already loaded in accelerator memory?
- 06Geographic affinityWhich site is closest to the request origin?
- 07Burst eligibilityIf the plane is at capacity, can this request use the burst pool?
- 08Failover pathIf this site's plane is full, which adjacent site can handle it?
import orchestra
client = orchestra.Client(seat_id='seat_8f3k2...', region='us-east')
# AI inference -> routed to MI350P plane
result = client.inference(
model='llama-3.1-70b',
prompt='Analyze quarterly trends...',
max_tokens=4096,
)
# GPU compute -> routed to Blackwell plane
render = client.gpu_compute(
task='video_upscale_4k',
input_url='s3://media/raw.mp4',
)
# Vector search -> routed to Sierra Forest
matches = client.vector_search(
collection='enterprise_docs',
query=embedding,
top_k=50,
)
# Same API. Different silicon. Automatic.Proven at scale. Not in a lab.
Parinita AI Edge is the production deployment of the Parinita platform and the largest heterogeneous AI infrastructure deployment in the United States.
Parinita AI Edge
The most complex heterogeneous AI infrastructure in the United States. 101 sites, 9 planes, 12,000+ nodes, 4 accelerator vendors, dual network fabrics, four-layer tenant isolation — all through a single sovereign control plane.
Network & Security Infrastructure
- Multi-vendor acceleratorsFour accelerator vendors — Intel Habana, NVIDIA, AMD, Qualcomm — orchestrated through one control plane with unified scheduling, monitoring, and lifecycle management.
- Dual-fabric networkingCisco production fabric and Arista GPU backend fabric operating as a coordinated system, bridged by identity-aware routing.
- Nationwide scale101 sites across 42 U.S. states, each operating autonomously with a local control agent and a sovereign cross-site routing plane.
- Multi-tenant isolationFour-layer defense-in-depth: VXLAN VNIs, identity-routing, Palo Alto firewalls, and Cilium eBPF — validated across every plane and site.
- Compliance readinessFIPS 140-2 at launch, with FedRAMP Moderate, CJIS, and IL4/IL5 certification paths active through Parinita compliance profiles.
- Sub-millisecond routingEvery request classified and dispatched in under 1ms, enabling real-time SLA enforcement without perceptible overhead.
Built for teams that run heterogeneous AI infrastructure.
Orchestra doesn't ask you to change your hardware, your Kubernetes distribution, your network vendor, or your security stack. It makes them all work together as one AI platform.
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Enterprise AI Platform Teams
You've built (or are building) an internal AI platform with multiple accelerator types across multiple data centers. Kubernetes clusters, GPU operators, custom scheduling scripts, growing operational burden. Orchestra replaces the custom glue with a tested, supported product.
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AI Service Providers
You sell AI compute to customers and need multi-tenant isolation, per-customer SLA enforcement, and usage metering across heterogeneous hardware. Orchestra provides the orchestration layer so you can focus on customers and pricing, not infrastructure plumbing.
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Regulated Industries
Healthcare, financial services, defense, and government workloads with strict compliance requirements. Orchestra's compliance-as-code profiles, data residency enforcement at the routing layer, and four-layer tenant isolation deliver a compliance posture single-layer solutions cannot match.
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Edge AI at Scale
Deploying AI inference across dozens or hundreds of locations — retail stores, branch offices, factory floors, CDN nodes. Orchestra manages the fleet with local autonomy at each site, centralized policy from the center, and automatic overflow to adjacent sites.
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Multi-Cloud and Hybrid
GPU infrastructure across on-premises data centers, colocation facilities, and cloud instances. Orchestra provides a single control plane spanning all of them, with consistent routing, security, and compliance policies regardless of where the hardware physically lives.
Deployment Models
Orchestra deploys as a distributed system across your infrastructure. Each site gets a local agent that can operate autonomously. A central control plane coordinates across sites but is not a single point of failure.
One Orchestra agent managing all planes at a single location | Best for: Proof of concept, small deployments
Central control plane + per-site agents with autonomous operation | Best for: Enterprise data center fleets
Nationwide | Full mesh with DCI routing, geographic SLA enforcement, and cross-site failover | Best for: AI service providers, distributed platforms
Request a Demo
Our engineering team has deployed the platform across 101 sites with 12,000+ nodes. We bring that operational experience to every customer engagement.