Power efficiency is a critical metric in high-density AI racks. Current-generation 800G modules (e., QSFP-DD800, OSFP 800G) typically consume 12 - 15 watts per module, while early 1. 6T implementations (including OSFP-XD and QSFP-DD1600 form factors) generally fall in the 18 - 22. Significant Power Difference: AI servers consume substantially more power than normal servers, often ranging from 2kW to over 10kW per unit compared to 200-500W for standard servers. Increased Rack Power Requirements: While normal server racks typically require around 7kW, AI server racks can. This paper benchmarks the strategic 1. 6 Tbps CPO Approaches of Intel, Ayar Labs, Lightmatter, Broadcom, and NVIDIA, analyzing critical scaling challenges, key architectural differences, and future directions that will define AI data center design for the remainder of the decade. Introduction. As data center networks scale to support AI training clusters, disaggregated compute, and next-generation switching ASICs, 1. 6T optical transceivers are rapidly transitioning from roadmap discussions into early system planning. Unlike previous bandwidth upgrades, however, the move to 1. 6T solutions move closer to early commercialization, data center operators and hyperscalers face a critical decision: which transceiver generation best aligns with their 2026 AI workloads, infrastructure maturity, and cost targets? This. HiSilicon and LightCounting jointly hosted a session titled "Towards 800G~1. 6T: Creating Ultra-Wide Optical Connectivity for Intelligent Computing Centers" during CIOE 2024. The event drew a crowd of attendees and featured experts from Baidu, Broadcom, HG Genuine, HiSilicon, Huawei, iFlytek. Where traditional server racks once operated at around 5–10 kW, modern AI environments are pushing far beyond that, often reaching 30 kW, 60 kW or even over 100 kW per rack. This shift is not just about compute.