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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

NVIDIA Base Command Manager provides rapid deployment and comprehensive management for diverse AI and high-performance computing clusters, whether at the edge, within data centers, or across multi- and hybrid-cloud settings. This platform automates the setup and management of clusters, accommodating sizes from a few nodes to potentially hundreds of thousands, and is compatible with NVIDIA GPU-accelerated systems as well as other architectures. It facilitates orchestration through Kubernetes, enhancing the efficiency of workload management and resource distribution. With additional tools for monitoring infrastructure and managing workloads, Base Command Manager is tailored for environments that require accelerated computing, making it ideal for a variety of HPC and AI applications. Available alongside NVIDIA DGX systems and within the NVIDIA AI Enterprise software suite, this solution enables the swift construction and administration of high-performance Linux clusters, thereby supporting a range of applications including machine learning and analytics. Through its robust features, Base Command Manager stands out as a key asset for organizations aiming to optimize their computational resources effectively.

Description

Slurm Workload Manager, which was previously referred to as Simple Linux Utility for Resource Management (SLURM), is an open-source and cost-free job scheduling and cluster management system tailored for Linux and Unix-like operating systems. Its primary function is to oversee computing tasks within high-performance computing (HPC) clusters and high-throughput computing (HTC) settings, making it a popular choice among numerous supercomputers and computing clusters globally. As technology continues to evolve, Slurm remains a critical tool for researchers and organizations requiring efficient resource management.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Parallel Computing Service No 
AWS ParallelCluster No 
Azure Marketplace No 
ClusterVisor No 
FPT AI Factory No 
IBM Cloud No 
Kubernetes Yes 
NVIDIA AI Enterprise Yes 
NVIDIA Base Command Yes 
NVIDIA Cumulus Linux Yes 
NVIDIA DGX Cloud Yes 
NVIDIA virtual GPU Yes 
Skyportal No 
Thunder Compute No 
TrinityX No 

Integrations

AWS Parallel Computing Service Yes 
AWS ParallelCluster Yes 
Azure Marketplace Yes 
ClusterVisor Yes 
FPT AI Factory Yes 
IBM Cloud Yes 
Kubernetes No 
NVIDIA AI Enterprise No 
NVIDIA Base Command No 
NVIDIA Cumulus Linux No 
NVIDIA DGX Cloud No 
NVIDIA virtual GPU No 
Skyportal Yes 
Thunder Compute Yes 
TrinityX Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/base-command/manager/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

slurm.schedmd.com

Product Features

Product Features

Workload Automation

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

Alternatives

Alternatives