Google plans to significantly expand its AI infrastructure in 2026, focusing on custom TPUs and NVIDIA GPUs as part of its broad CapEx strategy to support AI growth and cloud services.
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What are Google's plans for AI infrastructure investment in 2026, specifically regarding custom TPUs and NVIDIA GPUs?
Alphabet’s 2026 AI infrastructure investment plan is oriented around scaling a full-stack compute portfolio—including custom TPUs and NVIDIA GPUs—with the largest near-term capital outlay expressed through updated 2026 CapEx guidance of $180B–$190B. 1
However, the excerpts do not specify a 2026 dollar split (e.g., how much of the $180B–$190B is allocated to custom TPU buildouts versus NVIDIA GPU spend). 1 Instead, they describe (1) the deployment model and customer-directed TPU sales approach and (2) that NVIDIA GPUs are already “a core part” of Alphabet’s AI accelerator portfolio and are used alongside custom silicon. 2
Management explains that for TPUs, Alphabet generally steps back and thinks about the opportunity through Google Cloud, including infrastructure provided via cloud and direct sales of TPU hardware to select customers when it makes sense. 3
They cite examples where customers (including “capital markets” customers and “frontier AI Labs”) wanted TPUs in their data centers, and state Alphabet is opportunistic in those cases while using an ROIC approach. 3
Alphabet’s filings indicate TPU hardware agreements reflected in cloud backlog, with revenue recognition skewed forward:
Management explicitly notes that they will begin to deliver TPU hardware to select customers’ own data centers in the near-term/2026 framing. 5
Alphabet describes the cloud backlog as $462B at the end of Q1, and states that the TPU hardware agreements are reflected in that backlog, while “just over half” is expected to convert to revenue over the next 24 months. 4
They also say the increase in backlog is driven by enterprise AI offerings and the inclusion of TPU hardware sales. 5
Implication for 2026 infrastructure investment: the excerpts support that TPU-related activity is not just internal model training—it includes customer-facing TPU deployments and sales programs, but the revenue impact is weighted toward 2027, consistent with longer hardware delivery cycles. 145
Alphabet states that its compute portfolio includes “custom TPUs… and the latest NVIDIA GPUs,” and that “NVIDIA GPUs are a core part of our AI accelerator portfolio.” 2
Management says NVIDIA GPUs will be “among the first to offer” NVIDIA Vera Rubin NVL72, in addition to Blackwell and Hopper-based instances already available. 2
Implication for 2026 infrastructure investment: while the excerpts don’t quantify GPU spend, they indicate Alphabet expects to keep expanding GPU-based capacity in 2026 by continuing to offer and adopt the latest NVIDIA GPU generations within Google Cloud. 2
Alphabet updated full-year 2026 CapEx guidance to $180B–$190B. 1
Management attributes the increase to broadened investment scope including Intersect acquisition, and also frames the larger investment backdrop as unprecedented internal and external demand for AI compute resources, with a view that AI investments drive growth and backlog. 1
They further state that the “significant increase” in technical infrastructure investment pressures the P&L through higher depreciation and data center operating costs (including energy). 1
The excerpts do not provide:
So the most defensible conclusion from the excerpts is that both TPUs and NVIDIA GPUs are concurrently part of the 2026 compute expansion, but the exact allocation split for 2026 is not disclosed in the provided text. 12
Custom TPUs: Alphabet’s plan for 2026 includes scaling TPUs as part of Google Cloud’s AI infrastructure, with a customer-facing strategy that is generally ROIC-driven and opportunistic. 3 It also includes the start of TPU hardware deliveries to a select group of customers’ data centers in the near term/2026 framing. 5 Revenue from TPU hardware agreements is expected to be only a small percent realized later in 2026, with most realized in 2027, implying continued infrastructure and shipment timelines beyond 2026. 14
NVIDIA GPUs: Alphabet’s plan includes continued and expanded access to NVIDIA GPUs as a core AI accelerator option in Google Cloud, with an intention to be early providers of NVIDIA Vera Rubin NVL72 as well as supporting Blackwell and Hopper-based instances already available. 2 While no 2026 GPU spend figure is given, GPU capacity expansion is explicitly part of their “full stack” compute approach. 2
Overall investment level backdrop: This TPU-and-GPU compute scaling is supported by Alphabet’s broader 2026 CapEx guidance of $180B–$190B for AI infrastructure and related data center costs. 1
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