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    Bare metalDedicated GPUsPredictable performance

    Bare metal that feels invisible

    Dedicated machines, pinned performance, clean networking, and full control, delivered with a control plane your team can trust.

    Open previewTalk to an architect
    Boot to first job
    Minutes
    Dedicated GPUs
    Always yours
    Pinned performance
    Repeatable runs
    Control plane
    One surface

    A contract, not a collection of settings

    Bare metal should behave like a dependable instrument. You choose the intent. The platform holds the line.

    Dedicated nodes that stay dedicated
    Bare metal machines reserved for your workload, with clean isolation and consistent behavior across runs.
    Networking built for throughput
    Fast paths for data in and gradients out, with sane defaults that do not demand weeks of tuning.
    Storage that behaves
    Bring your buckets, attach what you need, keep the data flow predictable and auditable.
    Hardware freedom without the switch cost
    Choose the right GPUs for the job, keep your workflow intact, and keep your team focused on models.
    What you get, every time
    • Dedicated nodes with stable performance
    • Network and storage designed for sustained throughput
    • Clean primitives for training, fine tuning, and inference
    • One operational surface across environments
    Operational calm

    The platform absorbs complexity so your team stays focused

    Ready to clone

    Blueprints that ship

    Copy a proven path. Keep the freedom to change it. Each blueprint is written as a sequence, not a lecture.

    Simple DDP Training Job on FlexAI
    1. Start with one machine and one repo
    2. Add 2 flags to enable distributed data parallel
    3. Scale to multi-node without rewrites
    OutcomeDistributed training with just 2 extra flags
    View blueprint
    Speech-to-Text Inference on FlexAI
    1. Deploy a speech-to-text model via FlexAI Inference Endpoints
    2. Record audio messages through an interactive interface
    3. Receive transcriptions in real time
    OutcomeAudio transcription via FlexAI Inference Endpoints
    View blueprint
    Streaming Large Datasets
    1. Connect your large dataset source
    2. Stream data during training instead of downloading upfront
    3. Train on datasets larger than local storage
    OutcomeTrain on large datasets using streaming
    View blueprint

    Each blueprint includes config files and step-by-step guidance.

    Proof that lands in under ninety seconds

    The fastest way to trust a platform is to see it behave. Here is what teams notice first.

    One
    Runs stay consistent
    Repeatable jobs, repeatable performance, fewer surprise regressions.
    Two
    Utilization goes up
    Less idle time, more work per hour, and cleaner capacity planning.
    Three
    Teams stop context switching
    Your engineers stay in their flow, not in a settings labyrinth.

    Testimonials

    Short, specific, and about outcomes.

    "

    We went from tuning infrastructure to tuning models. The machines behave the same every day.

    Head of ML Platform
    AI scaleup
    "

    The best part is the calm. When we ship, it feels boring in the right way.

    Staff Engineer
    Applied AI team
    "

    We finally got dedicated performance without dedicating people to babysit it.

    Engineering Manager
    Product team

    Ship on dedicated GPUs, with a control plane you can trust

    Choose bare metal when you want performance that stays put. Keep the experience clean enough that your team stays calm.

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