From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
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GPU drivers - NVIDIA Tutorial
From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
GPU drivers
You probably know about device drivers, like you have installed a USB device, it may require a driver. You have installed a new printer, that printer may require drivers to function and same applies for GPU also. Let's focus on NVIDIA drivers. So we are focusing here on GPU drivers. These are the software that connects NVIDIA GPU with the operating system and application. So these GPU drivers has to be installed. There are chances that if you are getting a pre-configured system, these drivers may already be installed. Or let's say you are using an Amazon EC2 machine with a specific EMI, like you are using a deep learning AMI for this EC2 machine, this driver would already be installed on it. If it is not installed, then you can still go ahead and configure it. There are clear-cut process defined in NVIDIA documentation, so you can explore this documentation, which talks about how to install this driver on various operating systems through various methods of downloading locally or…
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Contents
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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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