New Breakthrough in AI Chips: Inventory of Next Generation Training and Reasoning Chips

AI chips are the cornerstone of computing power in the artificial intelligence industry. In 2026, the AI chip industry is undergoing profound changes. NVIDIA's Blackwell architecture GPU significantly improves training performance. AMD's MI series poses a strong challenge in terms of cost-effectiveness. Google TPU v6 performs excellently in cloud inference scenarios. Chips optimized for inference are on the rise, and Groq's LPU performs remarkably well in inference speed. Domestically, Huawei Ascend 910B has achieved remarkable performance improvements, while Cambrian and Horizon Robotics continue to make efforts in the field of edge AI chips. The competition for AI chips has shifted from computing power competition to ecosystem competition. Hardware manufacturers need to provide comprehensive software stacks and development tools to help developers quickly deploy models. Choosing AI chips requires comprehensive consideration of factors such as performance, ecological compatibility, power consumption, and cost.