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ML Infrastructure & GPUs / 37

You doubled the GPUs but training barely got faster. Why doesn't distributed training scale linearly?

Linear scaling is the marketing number; the real curve bends early for reasons that are physics, not bugs. Here is where the speedup goes and how to claw it back.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Linear scaling is the marketing number; the real curve bends early for reasons that are physics, not bugs. Here is where the speedup goes and how to claw it back.

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