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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
A typical flat vL3 domain enables databases operating across various clusters, clouds, or hybrid environments to seamlessly interact for the purpose of database replication. Workloads from different organizations can connect to a unified 'collaborative' Service Mesh, facilitating interactions across companies. Each workload is restricted to a single connectivity domain, with the stipulation that only those workloads residing in the same runtime domain can participate in that connectivity. In essence, Connectivity Domains are intricately linked to Runtime Domains. However, a fundamental principle of Cloud Native architectures is to promote Loose Coupling. This characteristic allows each workload the flexibility to receive services from different providers as needed. The specific Runtime Domain in which a workload operates is irrelevant to its communication requirements. Regardless of their locations, workloads that belong to the same application need to establish connectivity among themselves, emphasizing the importance of inter-workload communication. Ultimately, this approach ensures that application performance and collaboration remain unaffected by the underlying infrastructure.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
Amazon Web Services (AWS)
Google Kubernetes Engine (GKE)
Meshery
Microsoft Azure
NVIDIA AI Enterprise
NVIDIA Base Command
NVIDIA Cumulus Linux
NVIDIA DGX Cloud
NVIDIA virtual GPU
Integrations
Kubernetes
Amazon Web Services (AWS)
Google Kubernetes Engine (GKE)
Meshery
Microsoft Azure
NVIDIA AI Enterprise
NVIDIA Base Command
NVIDIA Cumulus Linux
NVIDIA DGX Cloud
NVIDIA virtual GPU
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Network Service Mesh
Website
networkservicemesh.io