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    Cloud and On-PremCustomizable infrastructureEnterprise controlsAPI and WebUI

    Platform by FlexAI

    One platform to build and deploy managed AI services on any infrastructure. Created for developers and IT Admins.

    FlexAI Console — AI workload management dashboard showing inference, training, fine-tuning, and virtual machine options

    Platform architecture

    FlexAI Platform provides managed Cloud Services and customizable infrastructure building blocks. Developer Friendly and Enterprise Ready. SOC2 Type II certified and GDPR compliant.

    MANAGED AI SERVICES

    Production serving for batch and real time endpoints.

    BatchReal timeDedicated endpoints

    Managed adaptation workflows with repeatable runtime configuration.

    SFTPreferenceEvaluation

    Managed training runs with the controls teams need.

    DistributedCheckpointsRecovery
    Infrastructure building blocks for CloudFoundry & AI Factory
    Virtual machines

    Provision VM environments for development, experimentation, or custom workloads.

    VMCustom runtimesIsolation
    Bare metal

    Full node access for high control environments and multi node distributed workloads.

    Bare metalMulti nodeHigh control
    Clusters

    Kubernetes and Slurm clusters as reusable execution environments.

    KubernetesSlurmScheduling
    Data and artifacts

    Datasets, checkpoints, and storage providers used across training and serving.

    DatasetsCheckpointsStorage

    Platform modules

    The six capability areas that power services and building blocks.

    Module Detail

    Infrastructure management

    What FlexAI delivers through this module.

    • Unified management of GPU, CPU, memory, storage, and network resources across heterogeneous environments.
    • Provision GPUs as bare metal nodes or VM based environments depending on workload requirements.
    • Integrated cluster management supporting Kubernetes and Slurm for AI and HPC workloads.
    • Consistent resource abstractions across mixed hardware pools and infrastructure providers.
    • Built-in observability with real-time health metrics and resource utilization dashboards.

    Runtimes, Frameworks & Tools

    A supported matrix across architectures and versions so tenants can run workloads without hand built images per cluster.

    Architectures
    CUDAROCm
    Inference
    vLLMTriton
    Fine Tuning & Training
    PyTorchTensorFlow
    Observability & Tools
    GrafanaPrometheusTensorBoardWeights & Biases
    Ready to clone

    Blueprints that turn weeks into minutes

    A library of ready to run templates for inference, fine tuning, and batch jobs. Each blueprint is a starting point that still leaves room for control.

    Want the platform walkthrough?
    How our managed AI Services connect to optional infrastructure blocks.