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

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

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

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/

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Certified MLOps Software for NVIDIA DGX Systems

Streamline AI Deployment and Workflows

AI Infrastructure with MLOps

DGX-Ready Software Partners

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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

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IBM Spectrum LSF

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SchedMD

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Altair

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