A big thank you to everyone who joined today's session. It was great to see so much enthusiasm and participation!
Here's a quick recap of what we covered on Day 1:
✅ GPU vs CPU Architecture
✅ CUDA, CUDA Cores, Tensor Cores, and RT Cores
✅ Machine Learning, Deep Learning, and Generative AI
✅ Why AI has become widely adopted
✅ AI Training vs Inference
✅ Why model training requires more data and GPU resources
✅ BF16 and modern AI numerical precision
✅ NVIDIA H100 overview and Out-of-Band (OOB) management
🌐 AI Networking
InfiniBand
NVSwitch
NVIDIA BlueField DPU
📊 GPU Monitoring & Management
nvidia-smi
NVIDIA DCGM
NVIDIA Base Command Manager
☁️ Deployment Models
On-Premises AI Infrastructure
Public Cloud AI Infrastructure
We also discussed exam-focused concepts, practical scenarios, and tips to help you prepare confidently for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) certification.
Looking forward to seeing everyone in Day 2, where we'll continue exploring the NVIDIA AI ecosystem with more hands-on concepts and certification-focused topics.
Missed Day 1 but still want to join? There's still time! 🚀
👉 Enroll here: https://ideaweaver.ai/#courses/nvidia-certification
See you in the next session!
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