Operator Comparison

Google vs Meta

Google and Meta are the two largest AI model trainers by disclosed GPU fleet size. Google develops proprietary Gemini models on custom TPU silicon, while Meta open-sources its Llama models and trains on massive NVIDIA GPU clusters. Their infrastructure strategies reflect fundamentally different AI business models.

Google
Facilities44
Capacity9.0 GW
Countries26
vs
Meta
Facilities20
Capacity15.8 GW
Countries5

Scale Comparison

Tracked Capacity
Google
9.0 GW
Meta
15.8 GW
Facility Count
Google
44
Meta
20

Status Breakdown

Google
Operational33
Under Construction4
Planned4
Announced3
Meta
Operational10
Under Construction6
Announced2
Planned2

Energy Mix

Google
Renewable25
Mixed5
Unknown4
Nuclear2
Hydroelectric2
Grid2
Clean energy procurement; backup diesel disclosed1
Grid / renewable PPAs1
Fossil / Gas1
Clean power colocation1
Meta
Renewable12
Mixed2
Nuclear2
Clean and renewable energy matched2
Nuclear power supply1
Clean energy matched1

Top Countries for Google

United States13 facilities
India2 facilities
Taiwan2 facilities
Belgium2 facilities
Denmark2 facilities

Top Countries for Meta

United States16 facilities
Sweden1 facility
Denmark1 facility
Ireland1 facility
India1 facility

Frequently asked questions

How does Google compare to Meta in AI infrastructure?
Google has 44 tracked facilities with 9.0 GW selected tracked capacity. Meta has 20 facilities with 15.8 GW. The comparison includes status breakdown, energy profile, and geographic distribution.

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