# Samsung may handle back-end design for Google’s 2nm TPU chip > Source: > Published: 2026-07-15 09:43:23+00:00 # Samsung may handle back-end design for Google’s 2nm TPU chip The potential outsourcing deal could reshape the semiconductor supply chain powering AI infrastructure Samsung Electronics is reportedly in consideration to take on back-end design work for Google’s next-generation 2nm Tensor Processing Unit. If the deal materializes, it would represent a notable shift in how Google sources the engineering behind its custom AI chips, and a meaningful win for Samsung’s foundry ambitions. Back-end design is the stage where a chip’s logical blueprint gets translated into the actual physical layout that can be manufactured. It’s painstaking, precision-critical work, and the fact that Google is looking outside its own walls for it tells you something about the complexity of building at the 2nm process node. ## Why 2nm matters, and why Samsung wants in The 2nm process node is the bleeding edge of semiconductor manufacturing. Smaller transistors mean more computing power crammed into less space, with better energy efficiency. For AI workloads, where TPUs chew through enormous datasets inside Google’s data centers, every incremental improvement in power and performance translates directly into lower operating costs and faster model training. Google has been designing and deploying TPUs since 2016, initially to accelerate machine learning tasks across its cloud infrastructure. For Samsung, landing this kind of work would be strategically significant. The South Korean conglomerate has been trying to close the gap with TSMC, the Taiwanese giant that dominates advanced chip manufacturing. Samsung’s foundry business has struggled with yield issues at cutting-edge nodes, and winning a high-profile design engagement with Google could help rebuild credibility with the broader market. ## What this means for investors No financial terms, contract values, or formal timelines have been disclosed. This appears to be an early-stage consideration rather than a signed deal, and no confirmations or further analyses have emerged from expert commentaries in the public domain. Investors in the broader AI hardware space should consider what this means for the competitive landscape. Google designing custom chips at 2nm reinforces the trend of hyperscalers building their own silicon rather than relying solely on merchant chip vendors like Nvidia or AMD. **Disclosure:** This article was edited by Editorial Team. For more information on how we create and review content, see our [Editorial Policy](https://cryptobriefing.com/editorial-policy/).