From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
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Layer 6: Applications and vertical solutions - NVIDIA Tutorial
From the course: NVIDIA Certified Associate AI Infrastructure and Operations (NCA-AIIO) Cert Prep
Layer 6: Applications and vertical solutions
Alright, so we have covered a lot of ground and we discussed about all the aspect of this layer cake. Now we are on the last layer here which talks about application and vertical solution. This is going to be a very quick video. So in layer 6, we are focusing on application and vertical solution which is Clara, Merlin and NVIDIA NIMS. these use cases for these. So we just need to know what these capabilities are. We do not need to go in detail of it. It is like a packaged solution. You just start using it rather than being worried about all the implementation detail. So what NVIDIA Clara is? It is an AI platform for healthcare and life science. What it allows? It allows accelerate medical imaging, genomics and smart hospital AI. If you are looking for faster genome sequencing and analysis. You are looking for AI-powered medical imaging like CT scan, MRI, pathology results or you want to collect real-time information and real-time AI in medical devices and hospital, you would use…
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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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