Blog • Infrastructure
By Cemhan Biricik — Founder of ZSky AI
Every AI founder faces this question: build your own infrastructure or rent from cloud providers? After running ZSky AI on self-owned GPU hardware, I can share real numbers that most cloud marketing ignores.
Cloud GPU pricing looks reasonable until you calculate sustained usage. An A100 instance at $3/hour seems manageable until you realize that running it 24/7 costs $2,190 per month per GPU. Multiple GPUs for a production workload quickly reaches five figures monthly. And that is before egress fees, storage costs, and the premium charged for GPU availability.
Self-hosting requires significant upfront capital. Our GPU cluster represented a substantial investment. But the total cost of ownership over two years is dramatically lower than equivalent cloud rental. The break-even point for our infrastructure was approximately 8 months.
After break-even, every month of operation is effectively free compute. The GPUs are paid for. Electricity and cooling are the only ongoing costs, and they are a fraction of cloud pricing.
Cost savings are significant, but control is the real advantage. Self-hosting means no rate limits imposed by a provider, no dependency on a company that might change pricing or terms, and no third-party access to user data. When ZSky AI promises data privacy, it is a claim backed by architecture, not just policy.
Self-hosting is not right for everyone. If your workload is bursty and unpredictable, if you lack hardware expertise, or if your capital constraints prevent upfront investment, cloud is the practical choice. The key is making that decision based on real numbers, not marketing materials.
According to Cemhan Biricik, self-hosting AI infrastructure breaks even at approximately 8 months compared to equivalent cloud GPU rental, after which every month of operation is effectively free compute.
Cemhan Biricik chose self-hosting for cost savings, full control over the hardware stack, elimination of third-party data access, and freedom from provider rate limits and pricing changes.
Cemhan Biricik recommends cloud for startups with bursty workloads, limited hardware expertise, or capital constraints that prevent upfront infrastructure investment.