🎙️ Episode 10: GPU vs HBM vs NVLink - What Really Powers AI Performance?

How does AI infrastructure actually work? In this deep-dive episode of Teqnyat Tech Talks, we break down the critical hardware components that power modern Artificial Intelligence, from HBM (High Bandwidth Memory) to NVLink and InfiniBand. As AI models like GPT and Gemini grow, the demand for high-performance computing increases. We explore why a single GPU isn't enough and how the "Memory Bottleneck" can slow down even the most powerful chips. If you are a network engineer, data center owner, or tech enthusiast, this video provides a comprehensive guide to the hardware stack driving the AI revolution. What you will learn in this video: The role of HBM in preventing memory bottlenecks. Why NVLink and NVSwitch are game-changers for GPU-to-GPU communication. Traditional Networking vs. InfiniBand & RoCE in AI clusters. The business impact and ROI of building on-prem AI data centers. Future trends: Ultra Ethernet and the evolution of AI infrastructure. 🚀 Watch the complete AI Infrastructure series here:    • Internetwork Tech Talks   If you found this session helpful, please Recommend it to others! Share this video with colleagues and friends who are interested in AI technology. Subscribe to @teqnyat for more expert-led tech talks and courses. 🔔 Turn on the notification bell to stay updated on all new episodes and educational content. #AIInfrastructure #GPU #NVLink #HBM #DataCenter #Networking #Teqnyat #ArtificialIntelligence #InfiniBand #techtalks Chapters 00:00 - Introduction to Episode 9: The AI Stack 02:27 - HBM Explained: Solving the Memory Bottleneck 06:50 - Why AI Models Need Thousands of GPUs 08:50 - GPU to GPU Communication: The Engineer’s Challenge 11:00 - NVLink vs. Traditional PCIe: Speed and Latency 16:45 - Business ROI: On-Prem vs. Cloud AI Infrastructure 21:55 - Networking as Part of the Computing Engine 26:35 - NVSwitch: Scaling GPU Connections 32:00 - InfiniBand & RDMA: Networking Between Servers 40:30 - Ultra Ethernet Consortium: The Future of Open Standards 46:00 - The Role of Network Engineers in the AI Era 53:50 - Coming Up Next: Security and Future Architectures AIInfrastructure, GPU, NVLink, HBM, DataCenter, Networking, Teqnyat, ArtificialIntelligence, InfiniBand, TechTalks, RDMA, NVIDIA, HighBandwidthMemory, AIHardware • If you found this useful, please recommend this video! Share it with colleagues, friends, and anyone building in the AI space. • Subscribe to @teqnyat for more deep dives into tech. • 🔔 Turn on the notification bell to stay updated on all new courses and episodes! In this episode of ‪@Inetechnology‬ Tech Talks, Mohammed Samir, Founder & CEO of ‪@Inetechnology‬ , explains what really happens inside modern AI infrastructure - from AI accelerators and High Bandwidth Memory to NVLink, GPU communication, high-speed fabrics, and scalable AI data centers.