AI Infrastructure Scaling

OpenAI's Jalapeno chip targets faster transformer inference and reduced dependence on NVIDIA, while MetaRoCE is a clean-sheet Ethernet RDMA transport designed to sustain training under 1% packet loss. These efforts highlight inference economics, network reliability, and photonic efficiency as central constraints on frontier-model scaling.