It might seem like a good idea to own your hardware. But when it comes to high-performance computing (HPC) for AI, the real costs of on-prem servers can be much higher than expected. In this blog, we compare traditional on-premises infrastructure with modern cloud-based HPC solutions.

On-Prem: Buying servers, GPUs, cooling systems, backup power, etc., requires a large upfront investment. Cloud HPC: No hardware purchase needed. Pay-as-you-go pricing converts CapEx to OpEx, allowing for better cash flow..

Hardware failures, power outages, and routine maintenance cause unexpected downtime. Cloud HPC offers SLAs, 99.99% uptime, and automated failover..

On-prem scaling requires physical installation and capital. Cloud HPC enables instant scaling with just a few clicks.

On-prem may struggle to keep up with industry security standards. Cloud solutions like HyvinX ensure end-to-end encryption, role-based access, and 24/7 threat monitoring.

On-prem servers might look cheaper on paper, but hidden costs, risks, and inflexibility often outweigh the benefits. Cloud-based HPC, especially platforms like HyvinX, offers agility, cost-efficiency, and enterprise-grade performance out of the box. Choose wisely—your infrastructure could make or break your AI roadmap.