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    AI Factory that enables intent into running workloads

    See the AI Factory in actionExplore architecture
    < 60s
    Job launch
    From submit to execution
    90% less
    DevOps overhead
    More time for product
    Predictable
    Cost control
    Guardrails and visibility
    Intent and policy driven framework
    Policy, identity, metering, and observability are built into the platform layer.
    Usage based economics
    Transparent, metered usage across inference, training, RAG, and agent workloads so cost scales with actual execution across the factory, not infrastructure complexity.
    Control when you need it
    Choose bare metal or VM for full control, or choose FCS for managed speed.
    Consistent operating workflow
    Same intent, same interface, across inference, fine tuning, training, and batch.

    FlexAI AI Factory is a production operating model for AI. Teams deploy inference, fine tuning, training, and batch through a single factory workflow while choosing their control plane. With FCS, FlexAI manages orchestration, reliability, and governance end to end. With VMs or bare metal, teams retain full control over drivers, runtimes, and system design.

    For cloud service providers, FlexAI CloudFoundry powers the control layer so they can run and monetize their own AI infrastructure with factory grade orchestration, policy, and commercial engines built in.

    The Flex AI Factory promise

    Your team defines intent, constraints, and targets.

    Define intent not infrastructure
    Recover from failures automatically
    Ship inference without babysitting
    Keep governance built in
    Security and governance
    Built into the factory, not bolted on later.
    RBAC and identity
    Policy enforcement
    Billing and metering
    Cost visibility
    Architecture

    A layered AI operating system for production workloads

    Commercial AI Services
    RetrievalVector searchTool callingAgentsGuardrails

    Production RAG and agent workflows that stay reliable as you scale.

    TrainingFine tuningRAGSynthetic data

    Managed workflows that ship outcomes, not infra work.

    Batch inferenceReal time inferenceServerless inferenceDedicated endpoints

    One surface for latency bound and throughput bound serving.

    Platform
    • Workload placement engine
    • Constraint based scheduling
    • Auto scaling and right sizing
    • Failure recovery and retries
    • Fractional GPU allocation
    • Model registry
    • Pipeline orchestration
    • Training frameworks and runtimes
    • Serving runtimes
    • Observability and metrics
    • Token management
    • Billing and metering
    • RBAC and identity
    • Policy enforcement
    • Cost visibility
    Foundation
    GPU nodesCPU nodesAccelerators

    Elastic resources across providers and regions.

    ObjectBlockCheckpoint

    Data planes for training, serving, and recovery.

    High bandwidthRDMAIsolation

    Predictable latency and secure multi tenant segmentation.

    Outcomes

    Build repeatable AI delivery, not one off infra projects

    An AI factory is a system that keeps producing. FlexAI turns infrastructure choices into a reliable operating model.

    Faster time to production
    A production path from prototype to endpoint, with consistent workflows across teams.
    Operational confidence
    Policy, identity, metering, and guardrails so teams can scale without chaos.
    Factory visibility
    One place to understand cost, performance, and health across workloads.
    FAQ

    Common questions

    Does VM access include the managed platform?
    VM access is a compute option with host level isolation and limited resources. FCS is the managed platform experience.
    When should we use bare metal?
    Use bare metal when you want full control over drivers, runtime, and system tuning, especially for distributed multi node training.
    What does FCS manage?
    FCS manages provisioning, orchestration, reliability, and governance so your team can focus on model and data work.
    Is this only for large enterprises?
    No. The factory concept works for startups and scaleups too, especially when you need repeatable production delivery across teams.
    Ready to run your AI Factory

    Start with managed FCS, or choose VM and bare metal for complete control. FlexAI supports the factory workflow either way.

    Get startedTalk to sales
    Deployment options
    FlexAI CloudBYOCOn prem
    Sovereign and private deployment options supported for teams with strict requirements.