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Cloud & AI / capability
AI Infrastructure and GPU Platforms
What settles own against rent is not the card price. It is hours busy per week. The breakeven for your workload is worked in rupees before you order.
A GPU you own costs the same whether it is running or idle.
That single fact makes owning against renting a real question. What settles it is how many hours a week the thing will genuinely be busy. Below a certain number of hours a week, renting usually wins. Above it, owning usually does.
Whatever GPU platform ends up underneath, the work itself usually runs on NVIDIA's software.
Where SECCOM stops. Model selection, training and evaluation belong to your data science team. SECCOM builds and runs the platform underneath them.
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