NVIDIA Base Command ManagerNVIDIA
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About
NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications.
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About
Zipher is an autonomous optimization platform specifically designed to improve the performance and cost efficiency of Databricks workloads by eliminating manual tuning and resource management and continuously adjusting clusters in real time. It uses proprietary machine learning models and the only Spark-aware scaler that actively learns and profiles workloads to adjust cluster resources, select optimal configurations for every job run, and dynamically tune settings like hardware, Spark configs, and availability zones to maximize efficiency and cut waste. Zipher continuously monitors evolving workloads to adapt configurations, optimize scheduling, and allocate shared compute resources to meet SLAs, while providing detailed cost visibility that breaks down Databricks and cloud provider costs so teams can identify key cost drivers. It integrates seamlessly with major cloud service providers including AWS, Azure, and Google Cloud and works with common orchestration and IaC tools.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations seeking a tool to manage the deployment of their AI and HPC clusters across diverse computing environments
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Audience
Data engineering and cloud infrastructure teams who run Databricks workloads and want to automate performance tuning and cost optimization with minimal manual effort
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/base-command/manager/
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Company InformationZipher
Founded: 2023
United States
zipher.cloud/
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Categories |
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Integrations
Amazon Web Services (AWS)
Not Supported
Apache Airflow
Not Supported
Azure Data Factory
Not Supported
Databricks
Not Supported
Google Cloud Platform
Not Supported
Kubernetes
Supported
Microsoft Azure
Not Supported
NVIDIA AI Enterprise
Supported
NVIDIA Base Command
Supported
NVIDIA Cumulus Linux
Supported
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Integrations
Amazon Web Services (AWS)
Supported
Apache Airflow
Supported
Azure Data Factory
Supported
Databricks
Supported
Google Cloud Platform
Supported
Kubernetes
Not Supported
Microsoft Azure
Supported
NVIDIA AI Enterprise
Not Supported
NVIDIA Base Command
Not Supported
NVIDIA Cumulus Linux
Not Supported
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