The Real Question Isn’t “GOOGL’s TPU vs NVDA’s GPU” – It’s Where Each Wins
NVIDIA and Google are winning in different lanes of the AI stack: Blackwell GB300/NVL72 still dominates frontier training and CUDA-heavy workloads, while Google’s TPU v7 “Ironwood” fabric is emerging as the better choice for large-scale, cost-sensitive LLM inference, often at meaningfully lower cost per token. The likely end state is a hybrid world - GPUs for cutting-edge training, TPUs for much of production serving. This is exactly why the stocks should be viewed differently: NVIDIA is a concentrated, fairly valued bet on continued AI accelerator spend, whereas Alphabet is a more diversified, cash-rich platform (Search, YouTube, Cloud) with TPU-driven AI infrastructure upside that is not yet fully reflected in its valuation.
