From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
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Data Center GPU Manager (DCGM) - NVIDIA Tutorial
From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
Data Center GPU Manager (DCGM)
The next utility you can use for monitoring your GPU is DCGM, which stands for Data Center GPU Manager. This is not by default available. So you may have to install it. And I would include a link about installation process of DCGM. Let's talk a little bit more on that. So its primary purpose is to provide you enterprise-scale GPU health monitoring and diagnostics information. It can work with multi-node GPU cluster, allows continuous monitoring, and has alerting features also in that. What it monitors? It monitors GPU health metrics, utilization pattern, power and thermal data, memory bandwidth, PCIe throughput, error rates which are happening. So these all are monitored by it. So I've included a link for an article which will give you a basic idea on how to get started with GPU manager. So you need to install dcgm. That is where you will provide the location for download. And then it will run as a service. So you would then install the package using this particular command. So that…
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NVIDIA: Powering AI GPU innovation2m 37s
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NVIDIA technology stack3m 12s
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Layer 1: Physical layer3m 53s
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GPU on a graphics card1m 57s
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DGX platform2m 56s
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DGX SuperPOD1m 57s
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ConnectX1m 49s
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BlueField DPUs2m 32s
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NVIDIA reference architectures1m 38s
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Understanding GPU cores5m
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Comparing GPU cores4m 18s
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NVIDIA DGX platform: Timeline4m 47s
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DGX platform: Deployment options3m 38s
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DGX A100 vs. H1004m 6s
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Layer 2: Data movement and I/O acceleration59s
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NVLink8m 5s
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InfiniBand2m 5s
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InfiniBand vs. Ethernet1m 43s
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DMA and RDMA6m 30s
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GPUDirect RDMA2m 44s
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GPUDirect storage1m 45s
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Quick comparison1m 56s
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Layer 3: OS, driver, and virtualization2m 17s
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GPU drivers4m 38s
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GPU virtualization5m 8s
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vGPU vs. MIG, part 17m 48s
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vGPU vs. MIG, part 210m 59s
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Layer 4: Core libraries6m 44s
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Compute unified device architecture (CUDA)3m 12s
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Installing CUDA2m 11s
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NVIDIA collective communications library (NCCL)3m 41s
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NVLink, NVSwitch, PCIe, RDMA vs. NCCL3m 44s
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Layer 5: Monitoring and management2m 23s
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NVIDIA-SMI4m 24s
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Data Center GPU Manager (DCGM)7m 27s
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Base Command Manager5m 33s
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Which one to use?2m 3s
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Layer 6: Applications and vertical solutions3m 48s
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Summary2m 26s
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NVIDIA AI Enterprise3m 2s
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NVIDIA AI Factory2m 24s
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