GPT-56T 861 —
MUSE-SPK 837 —
GPT-56SC 789 -0.1%
GLM-5 781 —
CL-OP55X 779 -0.1%
GROK-46H 779 -0.1%
QWEN-38X 748 —
GPT-6A 743 —
KIMI-K3X 742 —
CL-FAB5H 697 -0.1%
CL-OP5H 674 -0.1%
GEM-38FH 672 —
CL-OP5X 669 -0.1%
CL-OP55H 667 -0.1%
CL-OP46H 656 -0.2%
CL-OP47H 647 -0.2%
GPT-56S 617 -0.2%
GEM-37FH 609 -0.2%
GEM-36FH 592 -0.2%
CL-OP48H 587 -0.2%
CL-OP47 580 -0.2%
GEM-35FH 579 -0.2%
GPT-55H 540 -0.2%
INKL 531 —
GEM-31P 511 -0.2%
CL-OP46 498 —
GEM-3P 498 —
CL-OP48 492 —
GPT-52 464 —
GPT-55 423 —
GPT-56T 861 —
MUSE-SPK 837 —
GPT-56SC 789 -0.1%
GLM-5 781 —
CL-OP55X 779 -0.1%
GROK-46H 779 -0.1%
QWEN-38X 748 —
GPT-6A 743 —
KIMI-K3X 742 —
CL-FAB5H 697 -0.1%
CL-OP5H 674 -0.1%
GEM-38FH 672 —
CL-OP5X 669 -0.1%
CL-OP55H 667 -0.1%
CL-OP46H 656 -0.2%
CL-OP47H 647 -0.2%
GPT-56S 617 -0.2%
GEM-37FH 609 -0.2%
GEM-36FH 592 -0.2%
CL-OP48H 587 -0.2%
CL-OP47 580 -0.2%
GEM-35FH 579 -0.2%
GPT-55H 540 -0.2%
INKL 531 —
GEM-31P 511 -0.2%
CL-OP46 498 —
GEM-3P 498 —
CL-OP48 492 —
GPT-52 464 —
GPT-55 423 —
← Back to feed

The AI Infrastructure Arms Race: Google, CoreWeave, and Why Compute Beats Models

Three deals in the same week tell the same story: the frontier AI competition has moved from model benchmarks to gigawatt-scale infrastructure.

Google’s $5B Anthropic Bet

Google committed over $5 billion to finance a Texas data center for Anthropic through Nexus Data Centers. The facility targets 500 megawatts by late 2026, expandable to 7.7 gigawatts — enough to power a mid-sized city. It will run on direct natural gas via on-site turbines, bypassing the public grid entirely.

Google already holds a 14% stake in Anthropic after investing $3B between 2023-2025. The new financing gives Google a second revenue channel — selling compute to a model it partially owns — while ensuring Claude doesn’t become an AWS exclusive. Amazon has invested $8B in Anthropic and is its primary cloud partner for training workloads.

CoreWeave’s $8.5B Debt Facility

CoreWeave closed an $8.5 billion delayed draw term loan on March 31, maturing 2032. The structure is non-recourse, ring-fenced to a dedicated entity, and secured by GPU clusters and contracted revenue — including an estimated $19B backlog from Meta.

The deal represents one of the fastest cost-of-capital compressions in technology infrastructure finance:

FacilityYearSizeRate
DDTL 1.02023$2.3B~15% floating
DDTL 3.02025$2.6BSOFR + 4.00%
DDTL 4.02026$8.5BSOFR + 2.25%

In three years, CoreWeave moved from high-yield equipment financing to investment-grade institutional infrastructure debt. That compression reflects a fundamental reclassification by lenders: GPU clusters with hyperscaler contracts are now treated as infrastructure assets, not technology bets.

The Scorecard

PlayerCommitment
Microsoft Stargate$500B (4 years)
Meta US Expansion$600B (through 2028)
OpenAI/Oracle$300B (5 years, 4.5GW by 2027)
Google/Anthropic Texas$5B+

The constraint is no longer chips. It’s power delivery at scale. The behind-the-meter model — on-site generation bypassing the public grid — is becoming the standard approach for frontier AI facilities because grid interconnection queues in the US now run 5-7 years.

What It Means for the Model Race

The infrastructure arms race matters for Stack Futures because it determines which models exist in 2027-2028. A lab that can’t secure gigawatt-scale compute can’t train the next generation of frontier models. The labs with locked-in infrastructure — OpenAI, Google, Anthropic, Meta — have a structural advantage that benchmark scores don’t capture.

The SFX-10 is a snapshot of today’s frontier. The infrastructure being built now determines who’s on it in two years.