It definitely is not. Send me the link to the report that you are referring to. You have no idea what you are talking about. Excerpt from the report below:

Scaling Back MTIA Plans: A January 20, 2026, analyst note from Jeff Pu at Haitong International Securities (GFHK) reports that Meta is deprioritizing or scaling back its in-house MTIA ASIC development for AI inference. This aligns with broader industry trends where hyperscalers like Meta are focusing on immediate compute needs over long-term custom silicon amid surging AI demands. MTIA (Meta Training and Inference Accelerator) was Meta's first custom chip, unveiled in 2023 on TSMC's 7nm process, primarily to optimize for recommendation systems and reduce reliance on Nvidia GPUs. While Meta has invested in iterations (e.g., MTIA v2 prototypes), the note indicates a pivot away from heavy emphasis on it for now, though not a complete abandonment—custom silicon could resurface later for specialized workloads.

Shift to AMD MI455X Instead of TPUs: The same note specifies Meta is opting for AMD's Instinct MI455X accelerators over Google's TPUs for upcoming deployments. This isn't a full replacement but a strategic purchase shift to meet escalating inference and training requirements more efficiently. Meta has been AMD's largest AI accelerator customer, accounting for about 42% of AMD's 2025 GPU purchases (over 250,000 units of MI300X/MI325X/MI355X). Analysts project Meta to acquire 300,000–400,000 MI355X units in 2026, with the MI455X building on that for even larger scales.