Anthropic cuts CUDA migration costs, challenging Nvidia's platform moat

CUDA's moat is facing structural erosion. Anthropic's rapid adaptation to AMD MI355X reveals that abstraction layers like Triton are neutralizing proprietary instruction set lock-in. Technologically, inference workloads prioritize memory bandwidth over raw compute, reducing the barrier to hardware heterogeneity. In market dynamics, Nvidia risks compressing its software premium, while AMD leverages this to solidify its position as a credible second source, forcing cloud providers to re-evaluate TCO. From a compliance perspective, multi-source compute stacks are becoming critical for mitigating geopolitical supply chain risks. Over the next 18 months, the industry will shift from 'compute monopoly' to 'architecture neutrality'. Nvidia must accelerate software stack openness to maintain ecosystem stickiness, or its valuation logic will downgrade from 'platform monopoly' to 'hardware manufacturing'.