NVIDIA’s Groundbreaking AI Chip Breakthroughs: Revolutionizing Computing and Reshaping Industries

💡 AI supercomputers are changing the way software is programmed in the computer industry.

💡 The Tipping Point of accelerated computing and generative AI has been reached.

💡 The h100 computer, priced at $200,000, is capable of replacing entire rooms of other computers.

💡 Accelerated computing is a reinvention of computation and has taken nearly three decades to accomplish.

💡 GPU servers are considered expensive, but the focus is now on building cost-effective data centers instead of individual servers.

💡 The new era of computing is driven by accelerated computing and generative AI.

💡 Nvidia has dedicated itself to reinventing the GPU for tensor processing and has developed Nvidia AI, an AI operating system.

💡 The goal is to build cost-effective and dense computers for various applications, including deep learning and data processing.

💡 AI supercomputers are like new factories that produce intelligence, and every major company will have its own AI factory.

💡 The advancement of AI allows for applying computing power to various fields that were previously impossible.

💡 The new computing era of AI is characterized by its ability to understand multi-modality, low programming barriers, and compatibility with existing applications.

💡 Grace Hopper, an accelerated processor with a giant memory, is in full production.

💡 The Nvidia MGX is an open modular server design specification for accelerated computing.

💡 Different applications and domains have different server configurations and requirements, and Nvidia MGX is designed to address them.

💡 The expansion of AI will transform data centers into accelerated and generative AI-capable data centers.

💡 Ethernet is essential for interconnecting components in data centers, and a new type of ethernet is needed for AI workloads.

💡 Adaptive routing and lossless capabilities are important for high-performance computing applications in data centers.