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    Cloud and On-PremCustomizable infrastructureEnterprise controlsAPI and WebUI

    The platform beneath agent-native AI

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

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

    Token APIs stop at the model. GPU clouds stop at the hardware. The FlexAI Platform manages everything between.

    One capability layer, three products

    The FlexAI Platform is the capability layer: Inference, Fine-Tuning, Training, and Dedicated Endpoints, powering Token Factory, Agent SDK, and AI Factory. Developer friendly and enterprise ready. SOC 2 Type II certified and GDPR compliant.

    Infrastructure building blocks for 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

    How we run heterogeneous compute

    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.