➀ Gelsinger discusses the difference between throughput computing and scalar computing, highlighting NVIDIA's focus on GPU-based computing for AI.
➁ He argues that GPUs are overpriced for AI inference, suggesting a need for more cost-effective solutions.
➂ Gelsinger hints at the potential for 'NPUs' as a more efficient alternative for AI inference.