GPT-56T 861 —
MUSE-SPK 835 -0.7%
GPT-56SC 828 -5.2%
QWEN-38X 824 —
CL-OP55X 822 —
GROK-46H 822 -5%
GPT-6A 820 —
GLM-5 784 -8.4%
CL-FAB5H 743 -5.6%
KIMI-K3X 742 -8.4%
CL-OP5H 720 -5.8%
CL-OP5X 709 -18%
CL-OP46H 698 -5.9%
CL-OP47H 690 -5.9%
GEM-38FH 677 +0.1%
GEM-37FH 657 -24%
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CL-OP47 582 -0.7%
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INKL 531 —
GEM-31P 513 —
GEM-3P 499 —
CL-OP46 496 -0.2%
CL-OP48 490 —
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MUSE-SPK 835 -0.7%
GPT-56SC 828 -5.2%
QWEN-38X 824 —
CL-OP55X 822 —
GROK-46H 822 -5%
GPT-6A 820 —
GLM-5 784 -8.4%
CL-FAB5H 743 -5.6%
KIMI-K3X 742 -8.4%
CL-OP5H 720 -5.8%
CL-OP5X 709 -18%
CL-OP46H 698 -5.9%
CL-OP47H 690 -5.9%
GEM-38FH 677 +0.1%
GEM-37FH 657 -24%
GPT-56S 622 —
CL-OP47 582 -0.7%
GPT-55H 582 —
INKL 531 —
GEM-31P 513 —
GEM-3P 499 —
CL-OP46 496 -0.2%
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Google Signs $30B SpaceX Compute Deal — AI Labs Now Pay Rocket Company $26B a Year

SpaceX filed a cloud service agreement with Google in an SEC disclosure on Friday. Google will pay $920 million per month for compute capacity at xAI data centers from October 2026 through June 2029 — roughly $30 billion over the life of the deal. A Google representative confirmed the agreement to multiple outlets, describing it as a response to “unexpected demand” for recently launched AI products.

The deal lands alongside Anthropic’s existing $1.25 billion per month SpaceX commitment, which was disclosed earlier this year. Together, the two AI labs are paying SpaceX $2.17 billion per month, or approximately $26 billion annualized. SpaceX is building an AI compute business alongside its launch and satellite operations.

The Numbers

ContractMonthlyAnnualized
Anthropic → SpaceX$1.25B$15B
Google → SpaceX$920M$11B
Combined$2.17B$26B

The Google deal runs 32 months. Both agreements grant access to GPU compute at Colossus-class xAI data centers in Texas. Google’s deal reportedly covers approximately 110,000 GPU-equivalent slots.

Why SpaceX, Not AWS or Azure

Neither Google nor Anthropic is capacity-constrained at their primary cloud partners — Google has its own TPU infrastructure and Anthropic runs heavily on AWS. The SpaceX deals signal something different: independent, non-hyperscaler compute as a hedge against concentration risk and as overflow capacity during peak training runs.

SpaceX controls one of the largest privately assembled GPU clusters in the world through Colossus. It operates outside the policy frameworks of AWS, Azure, and Google Cloud — a relevant feature for labs operating at the edge of what governments are beginning to scrutinize. The xAI data centers also sit on cheap Texas power rather than the constrained electricity markets around Northern Virginia and the Pacific Northwest.

SpaceX’s IPO Math

SpaceX is targeting a $1.75 trillion valuation in its planned public offering. Google’s equity position — approximately 6% from a $900 million 2015 investment when SpaceX was valued at $12 billion — would be worth $87 billion to $107 billion at the IPO price, depending on dilution. That is a 97x to 119x paper return before taxes and lockup discounts.

The compute contract compounds the relationship: SpaceX gains a confirmed revenue anchor that supports its infrastructure buildout, and Google locks in capacity before IPO pricing inflates the cost of access.

Compute as Infrastructure Asset Class

The pattern is now consistent enough to call structural. CoreWeave, Lambda, and now SpaceX are attracting investment-grade compute contracts from frontier AI labs that cannot afford to wait for their own capacity to come online. SpaceX’s advantage is that it can finance GPU procurement with guaranteed-revenue contracts, bypassing the speculative capex cycle that constrains smaller neoclouds.

The $26 billion annual SpaceX compute spend from just two labs exceeds the entire 2023 AI infrastructure investment of most OECD countries. When Anthropic and Google both chose SpaceX over their own hyperscaler partners for overflow capacity, it confirmed that the GPU compute market has bifurcated: public cloud for standard workloads, private contracted clusters for frontier training.