Hardware and capacity
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Seven questions to ask a GPU provider before you commit
Tenancy, memory, billing unit, metering, location, support hours and exit terms. Six…
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What a fine-tune actually costs when the GPU is billed by the month
A dedicated GPU billed monthly changes the arithmetic: the marginal cost of…
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The utilisation problem: why most GPU spend is wasted
Surveys keep finding GPU utilisation in the single digits. The bottleneck is…
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The line items people miss on a GPU bill
The hourly rate is the part everyone checks. Storage, egress, idle time,…
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The specs that throttle training and are not the GPU
A GPU at thirty per cent during training is almost never a…
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Reading a GPU spec sheet: which numbers actually matter
Capacity decides whether a job runs, bandwidth usually decides how fast, and…
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When one GPU stops being enough
Three different problems get answered with the same request for more hardware.…
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What “dedicated GPU” actually means, and how to check
Dedicated, time-sliced, MIG and oversubscribed all get marketed the same way. Here…
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RTX 16 GB or A100 40 GB: which one does your fine-tune actually need?
VRAM is usually the binding constraint, not FLOPS. A practical way to…
