Bare Metal Cloud vs. Traditional Dedicated Servers
A guide for AI workloads.
Download PDF Contact Us to Get Started
Download this helpful guide to:
- Understand the benefits of bare-metal cloud vs. dedicated hosting: learn how both bare-metal cloud and traditional dedicated servers provide single-tenant physical hardware for AI workloads, but bare-metal cloud is more automated, API-driven, and elastic, while traditional dedicated servers are more fixed, manually provisioned, and predictable.
- Apply the best-fit solution to your use cases: explore how bare-metal cloud is positioned as the better choice for short-lived training bursts, rapid experimentation, CI/CD benchmarking, and unpredictable inference spikes, while dedicated servers are better for stable, long-running workloads with consistent utilisation and simpler budgeting.
- Know whether a hybrid model is best for you: your organisation may benefit from a hybrid model that uses dedicated servers for steady baseline workloads and bare-metal cloud for burst capacity, temporary projects, or scaling AI/ML experiments.