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What is Slurm?

Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), serves as an open-source and free job scheduling and cluster management solution designed for Linux and Unix-like systems. Its main purpose is to manage computational tasks within high-performance computing (HPC) clusters and high-throughput computing (HTC) environments, which has led to its widespread adoption by countless supercomputers and computing clusters around the world. As advancements in technology progress, Slurm continues to be an essential resource for both researchers and organizations in need of effective resource allocation. Moreover, its adaptability and ongoing updates ensure that it meets the changing demands of the computing landscape.

What is NVIDIA Run:ai?

NVIDIA Run:ai is a powerful enterprise platform engineered to revolutionize AI workload orchestration and GPU resource management across hybrid, multi-cloud, and on-premises infrastructures. It delivers intelligent orchestration that dynamically allocates GPU resources to maximize utilization, enabling organizations to run 20 times more workloads with up to 10 times higher GPU availability compared to traditional setups. Run:ai centralizes AI infrastructure management, offering end-to-end visibility, actionable insights, and policy-driven governance to align compute resources with business objectives effectively. Built on an API-first, open architecture, the platform integrates with all major AI frameworks, machine learning tools, and third-party solutions, allowing seamless deployment flexibility. The included NVIDIA KAI Scheduler, an open-source Kubernetes scheduler, empowers developers and small teams with flexible, YAML-driven workload management. Run:ai accelerates the AI lifecycle by simplifying transitions from development to training and deployment, reducing bottlenecks, and shortening time to market. It supports diverse environments, from on-premises data centers to public clouds, ensuring AI workloads run wherever needed without disruption. The platform is part of NVIDIA's broader AI ecosystem, including NVIDIA DGX Cloud and Mission Control, offering comprehensive infrastructure and operational intelligence. By dynamically orchestrating GPU resources, Run:ai helps enterprises minimize costs, maximize ROI, and accelerate AI innovation. Overall, it empowers data scientists, engineers, and IT teams to collaborate effectively on scalable AI initiatives with unmatched efficiency and control.

Media

Media

Integrations Supported

AWS Parallel Computing Service
AWS ParallelCluster
Azure Marketplace
ClusterVisor
FPT AI Factory
IBM Cloud
Skyportal
Thunder Compute
TrinityX

Integrations Supported

HPE Ezmeral

API Availability

Has API

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

slurm.schedmd.com

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/software/run-ai/

Categories and Features

Cluster Management

Not specified

Job Scheduler

Not specified

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

Categories and Features

AI Fine-Tuning

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

AI Orchestration

Not specified

Cloud GPU

Not specified

Cluster Management

Not specified

Deep Learning

Not specified

Virtualization

Not specified

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