MLOps Solutions for Enterprises

Weights & Biases

Weights & Biases (W&B) is the developer stack for machine learning practitioners. Use their lightweight, interoperable tools for debugging and reproducing the entire lifecycle of your machine learning projects. W&B is trusted by over 150,000 machine learning practitioners developing better medicine, safer self-driving cars, more sustainable farming, and state-of-the-art research.

Weight & Biases MLOps software is certified for use with NVIDIA DGX systems and is also available with NVIDIA Base Command.

Contact

www.wandb.ai

ClearML

ClearML provides a management and orchestration stack on top of DGX systems. With ClearML, teams can more easily manage their workloads, gain better visibility and control over their data and models, and collaborate effectively.

Using ClearML Orchestrate, teams can leverage one or more NVIDIA DGX A100 system to create virtual clusters for both remote virtual development environments, as well as support scalable training workloads.

Resources

Streamline Medical Imaging Workflows With NVIDIA DGX Station™ A100, NVIDIA Clara™ Imaging, and ClearML (Solution Brief)

Contact

www.clear.ml (Allegro AI)

Shakudo

Shakudo's Hyperplane platform is an end-to-end environment for machine learning teams. Hyperplane combines the best open-source tools and frameworks into a single preconfigured and tuned platform that’s designed for the best developer experience. Shakudo’s approach is to provide a single UI and a continuously evolving multi-framework, multi-infrastructure backend that aligns to the prevailing machine learning stacks in the industry. It’s straightforward to get up and running with Hyperplane on NVIDIA DGX systems with full support for RAPIDS™, NVIDIA Triton™ Inference Server, NVIDIA Multi-Instance GPU (MIG), and other powerful NVIDIA technologies. Hyperplane covers the entire machine learning life cycle, from development and experimentations, through scaling and deployment of models and extract, transform, and load (ETL) jobs, to experiment tracking, monitoring, and real-time troubleshooting of production workloads.

Contact

https://shakudo.io/dgx

Determined AI

Determined is an open-source deep learning training platform that makes building models fast and easy. Determined enables you to:

Train models faster using state-of-the-art distributed training, without changing your model code
Automatically find high-quality models with advanced hyperparameter tuning from the creators of Hyperband
Get more from your GPUs with smart scheduling, and cut cloud GPU costs by seamlessly using preemptible instances
Track and reproduce your work with experiment tracking that works out of the box, covering code versions, metrics, checkpoints, and hyperparameters

Contact

www.determined.ai

D2iQ

D2iQ Kaptain is an enterprise-ready, end-to-end machine learning (ML) platform, powered by Kubeflow, that accelerates time-to-market and positive ROI by breaking down the barriers between ML prototypes and production. D2iQ Kaptain enables organizations to develop and deploy ML workloads, at scale, in hybrid and cloud environments.

D2iQ Konvoy is a comprehensive Kubernetes distribution that enables companies to leverage Kubernetes with an easy, out-of-the-box, enterprise-grade experience. Konvoy is built on pure upstream open source software with the add-ons needed for Day 2 production selected, integrated, and tested at scale, for hybrid and cloud environments.

Resources

D2iQ Kubernetes Platform and NVIDIA DGX systems (Solution Brief)

Contact

https://d2iq.com/partners/nvidia

Run:AI

Run:AI has built the world’s first compute-management platform for orchestrating and accelerating AI. By centralizing and virtualizing GPU compute resources, Run:AI provides visibility and control over resource prioritization and allocation while simplifying workflows and removing infrastructure hassles for data scientists. This ensures AI projects are mapped to business goals and yields significant improvement in the productivity of data science teams, allowing them to build and train concurrent models without resource limitations.

Resources

Building the Best AI Infrastructure Stack to Accelerate Your Data Science (on-demand webinar)

Contact

www.run.ai

Shakudo

Shakudo's Hyperplane platform is an end-to-end environment for machine learning teams. Hyperplane combines the best open-source tools and frameworks into a single preconfigured and tuned platform that’s designed for the best developer experience. Shakudo’s approach is to provide a single UI and a continuously evolving multi-framework, multi-infrastructure backend that aligns to the prevailing machine learning stacks in the industry. It’s straightforward to get up and running with Hyperplane on NVIDIA DGX systems with full support for RAPIDS™, NVIDIA Triton™ Inference Server, NVIDIA Multi-Instance GPU (MIG), and other powerful NVIDIA technologies. Hyperplane covers the entire machine learning life cycle, from development and experimentations, through scaling and deployment of models and extract, transform, and load (ETL) jobs, to experiment tracking, monitoring, and real-time troubleshooting of production workloads.

Contact

https://shakudo.io

Canonical Ubuntu

Canonical’s Ubuntu is an optimized platform for NVIDIA DGX, NVIDIA NGC™ containers, and more that enables data scientists and engineers to innovate more productively. Canonical Kubernetes builds on optimized Ubuntu images and provides unparalleled integrations and operations for any compute environment.

Additionally, for crafting their AI solutions and scaling their projects, Canonical Kubeflow, an end-to-end MLOps platform, can be added to the stack and run on NVIDIA DGX systems.

Resources

Solution Brief: Charmed Kubernetes Delivered on NVIDIA DGX Systems Solution Brief

Solution Brief: Charmed Kubeflow Delivered on NVIDIA DGX Systems

Whitepaper: Build Your Performant ML Stack with NVIDIA DGX and Kubeflow

Contact

https://ubuntu.com/nvidia#get-in-touch

IBM Spectrum LSF

The IBM Spectrum^® LSF^® Suites portfolio, a complete workload management solution for demanding distributed computing environments, helps increase user productivity and hardware utilization, while decreasing management costs. LSF Suites provide support for classical high performance computing (HPC), big data, GPUs, machine learning (ML) and AI, and containerized workloads on-premises and in the cloud. Dynamic hybrid cloud bursting and intelligent data staging help organizations control costs by enabling them to pay for only what they use.

Resources

Using IBM Spectrum with NVIDIA DGX Systems

Contact

https://www.ibm.com/products/hpc-workload-management

SchedMD

SchedMD is the core developer and services provider for Slurm, providing support, consulting, configuration, development, and training services to cloud and on-premises clusters.

Slurm is the market-leading open source workload manager designed for the most complex and demanding HPC, high throughput computing (HTC), and AI systems. Slurm maximizes workload throughput and reliability, while optimizing consumption and managing workloads across cloud and on-premises clusters.

Slurm provides key scheduling to NVIDIA GPUs:

Manages GPUs similar to CPUs with flexible control for requesting GPUs and binding tasks to the GPU (GPU=first-class resource)
Supports NVIDIA Multi-Instance GPU (MIG)
Auto detect GPU resources
Constrain workloads to only the specific allocated GPUs disallowing processes from using more than requested
Sets CUDA_VISIBLE_DEVICES environment variable allowing the job to know the allocated GPU

Resources

Accelerating High Performance and AI Workloads with Slurm and NVIDIA DGX Systems

Contact

www.schedmd.com/

Dataiku

Dataiku is the platform for everyday AI, helping data experts and domain experts work together to build AI into their daily operations. Together, they design, develop, and deploy new AI capabilities at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future.

More than 500 companies worldwide use Dataiku, driving diverse use cases, from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, and everything in between.

Contact

www.dataiku.com

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Certified MLOps Software for NVIDIA DGX Systems

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Weights & Biases

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Backend.AI

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Bright Computing

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ClearML

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Shakudo

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Domino Data Lab

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Determined AI

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Iguazio

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Paperspace

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Red Hat OpenShift

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Pachyderm

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D2iQ

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Run:AI

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Shakudo

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Canonical Ubuntu

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IBM Spectrum LSF

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SchedMD

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Altair

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SUSE

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Dataiku

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