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    ML Ops

     Info
    Our MLOps team boosts the productivity of data scientists, data engineers, and ML engineers by building workflows and pipelines that reduce time-to-market for innovative solutions and ML-enabled products.

    Overview

    Our engineers help you quickly move your in-house-developed AI/ML models to production via automation and choose optimal runtime to reduce spending on expensive GPU computing costs. We follow best practices to design your infrastructure and use popular tools such as Kubeflow, AWS Sagemaker, and MLFlow. With our extensive hands-on experience with high-end GPU computing, High Plains Computing supports your journey into high-performance computing and Gen AI.

    Highlights

    • Assistance in transitioning AI/ML models to production.
    • Optimizing runtime to reduce GPU computing costs Tools and Practices.
    • Utilization of Kubeflow, AWS Sagemaker, and MLFlow - Adherence to best practices in infrastructure design Expertise.

    Details

    Delivery method

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    Legal

    Content disclaimer

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    Support

    Vendor support

    High Plains Computing provide 24 x7 support within one one-hour response time SLA. Other services are covered via standard support of within 1 business day response time. High Plains provides customers with phone, email, and web access to create tickets. High Plains support engineers are AWS-certified sysops and DevOps Contact us for further details:

    Phone: +1 (307) 264-3401

    Email: service@highplains.io