Nvidia, Google & Amazon: Who’s Winning The AI Chip Race? The battle for AI dominance is no longer just about software, it’s a full-scale hardware war. In this video, we break down how Nvidia, Google, and Amazon are reshaping the future of AI with their next-generation chips, from Nvidia’s Blackwell GPUs to Google’s TPUs and Amazon’s custom Trainium processors. NVIDIA’s latest Blackwell GPUs are now powering server racks across the world, driving some of the most advanced generative AI systems ever built. Once a gaming company, Nvidia has evolved into the backbone of the AI revolution, training massive models, running heavy workloads, and shipping nearly 6 million Blackwell GPUs in a single year. With 72 GPUs linked together into one unified super-chip, Blackwell has taken parallel computation to another level. But the story is changing. A new wave of custom AI chips, known as ASICs, is emerging from hyperscalers like Google, Amazon, Meta, Microsoft, and OpenAI. These chips are smaller, more efficient, purpose-built, and predicted to outgrow GPU demand in the coming years. Alongside them are FPGAs and a new class of edge AI chips, bringing intelligence directly to devices instead of the cloud. So… what happens when GPUs, TPUs, Trainium chips, FPGAs, and edge NPUs all collide? Who actually wins the AI chip race? Nvidia, Google, Amazon, or a mystery fourth player rising behind the scenes? #AIChips #Nvidia #TechExplained #google #amazon