Provider Overview
Strengths & Best For
IBM Cloud provides H100 and A100 GPU instances with enterprise-grade compliance certifications including HIPAA, FedRAMP, and SOC 2, making it the default GPU cloud for regulated industries that cannot use less-compliant providers. On-demand and reserved billing options are available, with deep integration into the IBM Watson and watsonx AI ecosystem for enterprise AI workloads. The go-to choice for healthcare, government, and financial services organizations that need GPU compute within a fully compliant cloud environment.
- HIPAA and FedRAMP compliance
- Enterprise SLAs
- IBM Watson integration
- Global regions
Zettabyte provides scalable H100, H200, and A100 GPU infrastructure for large-scale AI training and inference, with enterprise reliability and on-demand and reserved billing options for organizations that need consistent GPU cluster access. High-capacity configurations and a focus on enterprise-grade uptime make it a strong choice for AI labs and enterprises running production LLM workloads at scale. A reliable on-demand GPU cloud for teams that need scalable infrastructure with enterprise-level reliability.
- Scalable infrastructure
- Enterprise reliability
- Large-scale training
Live GPU Pricing
Region Coverage
Popular Comparisons
IBM Cloud — hyperscaler provider
IBM Cloud provides H100 and A100 GPU instances with enterprise-grade compliance certifications including HIPAA, FedRAMP, and SOC 2, making it the default GPU cloud for regulated industries that cannot use less-compliant providers. On-demand and reserved billing options are available, with deep integration into the IBM Watson and watsonx AI ecosystem for enterprise AI workloads. The go-to choice for healthcare, government, and financial services organizations that need GPU compute within a fully compliant cloud environment.
Zettabyte — specialist provider
Zettabyte provides scalable H100, H200, and A100 GPU infrastructure for large-scale AI training and inference, with enterprise reliability and on-demand and reserved billing options for organizations that need consistent GPU cluster access. High-capacity configurations and a focus on enterprise-grade uptime make it a strong choice for AI labs and enterprises running production LLM workloads at scale. A reliable on-demand GPU cloud for teams that need scalable infrastructure with enterprise-level reliability.
Billing model comparison
IBM Cloud uses a On-demand, Reserved billing model with a minimum commitment of None (on-demand). Zettabyte uses On-demand / Reserved billing with a None minimum. IBM Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Zettabyte's commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
IBM Cloud is best suited for: Regulated industries, Enterprise compliance workloads, IBM ecosystem users. Its key strengths are hipaa and fedramp compliance, enterprise slas, ibm watson integration. Zettabyte is best suited for: Enterprise AI, Large training runs, Production inference. Its key strengths are scalable infrastructure, enterprise reliability, large-scale training. As a hyperscaler, IBM Cloud offers broader ecosystem integration and compliance certifications at a premium price. Zettabyte as a specialist provider typically offers lower per-GPU rates for teams that don't need the full hyperscaler ecosystem.
Support tiers and region coverage
IBM Cloud offers Standard → Enterprise support across 2 regions (US, EU). Zettabyte offers Standard support across 1 region (US). IBM Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: IBM Cloud vs Zettabyte
IBM Cloud was founded in 2011 and is headquartered in Armonk, NY. Zettabyte was founded in 2022 and is headquartered in United States. IBM Cloud has 11 years more operational history than Zettabyte, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.