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    Data Center-Ready MLOps: Domino now validated for NVIDIA AI Enterprise

    By Thomas Robinson, VP, of Strategic Partnerships and Corporate Development, on January 18, 2022,  in Company Updates

    Today, Domino Data Lab is announcing the validation of Domino’s enterprise MLOps platform integrated with NVIDIA AI Enterprise and VMware vSphere with Tanzu, helping enterprises worldwide manage data science and AI workloads using mainstream servers. Domino is the first MLOps software NVIDIA has validated with the NVIDIA AI Enterprise software suite to provide the highest performance and compatibility on NVIDIA-certified Systems from leading server providers. 

    GPU acceleration brings promise, but not without challenges

    From natural language processing for model-driven policy approvals to image classification in biotechnology to supply chain risk and anomaly detection  in advanced manufacturing, the competitive advantage from GPU-accelerated model training is clear. The intensity of data science workloads, particularly for model development and deep learning, results in varying compute infrastructure requirements, with peak utilization orders of magnitude greater than average utilization. 

    However, enterprises frequently struggle with AI adoption because of the complexity of integrating these AI solutions with existing enterprise infrastructure. This is compounded by data scientists’ need for flexibility in tooling across the data science lifecycle, resulting in siloed environments between data scientists and IT.

    Breaking down silos between data scientists and IT

    Domino Data Lab’s enterprise MLOps platform is now validated and integrated with NVIDIA AI Enterprise, an end-to-end, enterprise platform software suite optimized for AI workloads. This joint solution between NVIDIA, VMware, and Domino Data Lab marks a new phase in the rapid innovation, scale, and expansion of AI by bringing powerful AI solutions into enterprise data centers on mainstream servers.  

    On  infrastructure already  familiar to IT, data science teams can now easily complete projects such as training an image recognition model using TensorFlow, performing textual analysis with NVIDIA RAPIDS, or deploy an intelligent chatbot with Triton Inference Server. Breaking down silos across data science and IT opens the door for even more enterprises to build a competitive advantage by embedding models throughout the business.

    Data Center-Ready Enterprise MLOps

    NVIDIA AI Enterprise is optimized and certified for VMware vSphere® with Tanzu, the industry’s leading virtualization platform. This provides AI developer frameworks and tools backed by NVIDIA support, with kubernetes operators, drivers, and enterprise-supported containers necessary for data science and AI workloads. 

    Domino’s Enterprise MLOps platform works on top of VMware vSphere, integrating NVIDIA AI Enterprise containers  with the Kubernetes layer provided by VMware Tanzu. This provides an end-to-end platform for the research, development, and deployment of data science and AI workloads. The NVIDIA AI Enterprise validation means this entire solution can be deployed on NVIDIA-Certified systems from server vendors and integrators like HPE, Dell, Lenovo, Cisco, and Hitachi Vantara. 

    NVIDIAAIEnterpriseDomino

    Upskilling data scientists with the right tools and infrastructure

    Domino uniquely enhances the NVIDIA AI Enterprise software suite by providing an end-to-end enterprise MLOps platform, a system-of-record for data science work. A single click can spin up research environments with optimized images for NVIDIA RAPIDS, TensorFlow, and PyTorch frameworks on NVIDIA-Certified Systems with data, code,  and prior work automatically loaded alongside access to NVIDIA GPUs. This automation allows data scientists to focus on innovative research and model development instead of burdensome devops work. 

    Similarly, Domino handles all the model hosting and inference, so once a data scientist has created a model, it can easily be hosted and maintained in the environment.

    Simplified management and reduced support burden for IT

    For IT, this integration dramatically simplifies support requests from data scientists by providing a virtualized, cloud-like “data science platform” all hosted within the familiar resilient VMware vSphere enterprise infrastructure environment running non-AI applications. IT can quickly provision pre-configured containers on-demand with allocated GPU resources, reducing the number of help-desk requests from data scientists for infrastructure and licenses. Domino provides a self-service solution for data scientists - with reporting and governance for IT.

    Growing partnership

    With the addition of the NVIDIA AI Enterprise validation, Domino has many different products and offerings with NVIDIA and the NVIDIA Partner Network (NPN). We continue to expand our NVIDIA DGX-Ready Software partnership,  have recently announced an NVIDIA-based managed service offering with TCS, and continue to support NVIDIA accelerated computing  on the major cloud providers. Our mission is to unleash the power of data science for the world’s most important enterprises - democratizing GPU access is an important pillar in that mission.

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