What are Metas plans for expanding their datacenters for AI?
Meta has received much attention for significant growth in capex, but I was curious from a technical side what the plan is? I'm assuming they are investing in datacenters optimized for training large amounts of data on NVIDIA GPUs?
A few quotes from Meta's Q3 Earnings report and call:
"First, we are significantly expanding our AI capacity. These investments are driving substantially all of our capital expenditure growth in 2023. There is some increased capital intensity that comes with moving more of our infrastructure to AI. It requires more expensive servers and networking equipment, and we are building new data centers specifically equipped to support next generation AI-hardware. We expect these investments to provide us a technology advantage and unlock meaningful improvements across many of our key initiatives, including Feed, Reels and ads. We are carefully evaluating the return we achieve from these investments, which will inform the scale of our AI investment beyond 2023."
"For 2023, we expect capital expenditures to be in the range of $34-39 billion, driven by our investments in data centers, servers, and network infrastructure. An increase in AI capacity is driving substantially all of our capital expenditure growth in 2023."
"We believe the additional data center capacity will provide us greater flexibility with the types of servers we purchase and allow us to use them for longer, which we expect to generate greater cost efficiencies over time"
"Our AI discovery engine is playing an increasingly important role across our products -- especially as advances enable us to recommend more interesting content from across our networks in feeds that used to be primarily driven just by the people and accounts you follow"
https://s21.q4cdn.com/399680738/files/doc_financials/2022/q3/Meta-Q3-2022-Earnings-Call-Transcript.pdf
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