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GTC ON-DEMAND

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Abstract:
NVIDIA DCGM is a monitoring and management daemon, GPU Diagnostic, and SDK geared towards managing GPUs in a cluster environment. DCGM is widely deployed both internally at NVIDIA and externally at large HPC labs and Cloud Service Providers. We will go over the core features of DCGM and features that have been added in the last year. We will also demonstrate how DCGM can be used to monitor GPU health and alert on GPU errors using both the dcgmi command-line tools and the DCGM SDK.
NVIDIA DCGM is a monitoring and management daemon, GPU Diagnostic, and SDK geared towards managing GPUs in a cluster environment. DCGM is widely deployed both internally at NVIDIA and externally at large HPC labs and Cloud Service Providers. We will go over the core features of DCGM and features that have been added in the last year. We will also demonstrate how DCGM can be used to monitor GPU health and alert on GPU errors using both the dcgmi command-line tools and the DCGM SDK.  Back
 
Topics:
Data Center & Cloud Infrastructure, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8505
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Abstract:
NVIDIA is launching a new tool for data center GPU management. This is a freely available, comprehensive GPU management framework that enables cluster management, resource scheduling and monitoring products from NVIDIA partners and supports individual users and admins as well. Data Center GPU manager 1.0, available for Tesla GPUs on Linux, helps to ensure GPU reliability and uptime, streamline common data center administrative tasks and improve overall resource efficiencies while still providing complete control over GPUs and expanded visibility into their behavior. It includes active health monitoring, diagnostics, system alerts, and governance policies including power and clock management. The talk will provide an introduction to the key features of this SW stack, as well as an overview.
NVIDIA is launching a new tool for data center GPU management. This is a freely available, comprehensive GPU management framework that enables cluster management, resource scheduling and monitoring products from NVIDIA partners and supports individual users and admins as well. Data Center GPU manager 1.0, available for Tesla GPUs on Linux, helps to ensure GPU reliability and uptime, streamline common data center administrative tasks and improve overall resource efficiencies while still providing complete control over GPUs and expanded visibility into their behavior. It includes active health monitoring, diagnostics, system alerts, and governance policies including power and clock management. The talk will provide an introduction to the key features of this SW stack, as well as an overview.  Back
 
Topics:
Data Center & Cloud Infrastructure, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6144
Streaming:
Download:
Share:
 
 
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