AI Factories: The Race Is OnHyperscalers’ CapEx is set to hit $𝟮𝟰𝟰𝗕 𝗶𝗻 𝟮𝟬𝟮𝟱 - this is huge.What does this mean? It means scaling isn’t dead—it’s transforming.Big tech is building AI-first infrastructure: multi-gigawatt data centers, high-bandwidth networks, and cutting-edge hardware designed for training and inference at scale. Here’s why:AI workloads demand massive compute power and efficiency.Companies like NVIDIA, with GPU racks and memory-optimized systems, are enabling hyperscalers to push AI capabilities further.Synthetic data and inference reasoning are fuelling innovation, creating new demands for AI compute.
This is fantastic!
good stuff!
Brilliant!
Great resource!
🙏
Wow 🤯 Brilliant Document 🌟
Thanks Chris!
It means the extreme demand for power in the us and globally is very real in order to make sure all this stuff can be used!
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