AI Inference Optimization: Strategic Opportunities in the Token Cost-Performance Era
In 2026, AI infrastructure is experiencing a historic shift from 'training-dominated' to 'inference-dominant' architecture. Inference compute now accounts for over 70% of global AI compute demand, becoming the core consideration for data center deployments. NVIDIA GB300 NVL72 redefines hardware standards with 50x inference performance improvement, AMD MI355X builds cost advantages with 288GB HBM3E, and Google TPU v7 sets energy efficiency benchmarks with 100% liquid cooling. Meanwhile, software optimization technologies like TurboQuant, RWKV-6, and DTR are restructuring inference economics—Token cost-performance is becoming the new core competitiveness following parameter scale.