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Enterprise-level Architecture

One platform layer. Two architecture paths.

Nucleaton™ sits between your resource scheduler and your customer workloads. Whether you’re running an enterprise AI platform or operating a data center, the same policy and placement engine connects commitment to capacity.

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Enterprise Architecture

Slurm as the foundation, Nucleaton™ as the platform.

Slurm remains the authoritative resource scheduler for GPU allocation. Nucleaton™ operates on top, automating cluster deployment, enforcing resource policy, managing training jobs, and placing inference workloads into eligible spare capacity.

An optional Kubernetes overlay provides inference endpoints, agent hosting, and model serving. Both Slurm and K8s draw from the same physical fleet, coordinated by Nucleaton™’s resource policy layer.

Nucleaton™ operating layer

  1. Workloads

    TrainingInferenceAgentsEvaluationCPU/Data services

  2. Operations

    AutoscaleRoutePrioritizeReclaim/DrainHealth/Remediate

  3. Control

    UsersProjectsQuotasAccessPolicy

  4. Cluster

    SlurmStorageNetworkGPU stackOptional K8s

  5. Infrastructure

    NVIDIAAMDCPUCloudData Center

Why Slurm

Purpose-built for GPU training at scale.

Slurm is the de facto workload manager for large-scale GPU training. It understands job arrays, node partitions, hardware topology, and fair scheduling across thousands of GPUs. Nucleaton™ doesn’t replace Slurm; it extends it with automated deployment, resource policy, converged inference placement, and customer-facing service delivery.

Resource foundation
Nucleaton™deploys, runs and extends Slurm

Inference scalingRouting + endpointsPriority + reclaimUsers + storageHealth + remediation

Kubernetes overlay
Optional

For workloads that need Kubernetes semantics, on the same physical fleet.

inference endpointsagent hostingmodel serving

Slurm resource authority
Foundation

CPU/GPU allocationmulti-node jobsqueuesprioritiesaccounting

Platform Layers

Each layer adds capability. None replaces your scheduler.

  • Service Delivery

    Inference endpoints, agents, model hosting, and branded tenant portals.

  • Resource Policy

    Guaranteed, flexible, and reclaimable capacity tiers governed by operator-defined rules.

  • Placement Engine

    Priority-aware scheduling that places training and inference into one physical pool.

  • Cluster Automation

    OS, drivers, networking, parallel filesystems, and Slurm configuration, deployed in minutes.

Data Center Architecture

From tenant contract to physical fleet.

For data center operators, Nucleaton™ extends northward to meet customer contracts and southward to manage physical infrastructure. The same policy engine that places workloads also connects to Redfish, BMC interfaces, and data center management systems.

This creates a single control loop: customer commitments become enforceable resource policies, resource policies drive placement decisions, and placement decisions respond to real hardware state.

Data center operating stack

Northbound

Customers / contracts / APIs

Tenantsreservedburstablemanaged servicesSLA / quota / priority

Managed AI services

Traininginferenceagentsprivate modelsevaluation

Control

Nucleaton™ service + capacity control

Admissionplacementautoscalingpolicyreclaimhealthutilizationaccounting

Southbound

Cluster runtime

Slurmworkload runtimestoragenetwork / fabric

Data center management

Redfish / BMCtelemetryhardware healthlifecycle integrations

Physical infrastructure

Computenetworkstoragepower / facility context

Northbound commercial intent becomes southbound resource behavior.

Control Plane

Northbound commitments, southbound control.

The northbound interface handles tenant onboarding, service level definitions, and capacity commitments. The southbound interface manages compute nodes, GPU health, scheduling partitions, and physical infrastructure state.

Data center integrations are currently in beta. Supported management systems are expanding.

From service to physical capacity

Services + contracts

Northbound

Tenantsreserved capacitymanaged traininginferenceagentsquotasSLAs

Nucleaton™ capacity + service control

Admissionplacementpolicyautoscalingreclaim/drainutilizationhealthaccounting

Data center + cluster

Southbound

SlurmRedfish / BMCcomputenetwork/fabricstoragetelemetryhardware state

Existing Slurm clusters can be integrated through assisted deployment.

FAQs

Can’t find your answer? Contact us.

C-Gen.AI is a turnkey AI infrastructure orchestration platform. Unlike a standard cloud provider, we provide the software layer (Nucleaton™) that automates the deployment, management, and monetization of GPU clusters across any environment—whether on-premise, private cloud, or bare-metal.

See how Nucleaton™ fits your infrastructure.

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At C-Gen.AI, we see ourselves as the connective tissue between model innovation and operational delivery for startups, data centers, and enterprises.

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