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
Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.
- Serverless deployment
- Fast cold starts
- Custom containers
- Simple pricing
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.
Cerebrium — specialist provider
Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.
Billing model comparison
IBM Cloud uses a On-demand, Reserved billing model with a minimum commitment of None (on-demand). Cerebrium uses Per-second usage billing with a None minimum. IBM Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Cerebrium'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. Cerebrium is best suited for: Real-time inference APIs, Model deployment, Serverless AI. Its key strengths are serverless deployment, fast cold starts, custom containers. As a hyperscaler, IBM Cloud offers broader ecosystem integration and compliance certifications at a premium price. Cerebrium 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). Cerebrium offers Standard support across 2 regions (US, EU). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: IBM Cloud vs Cerebrium
IBM Cloud was founded in 2011 and is headquartered in Armonk, NY. Cerebrium was founded in 2022 and is headquartered in Cape Town, South Africa. IBM Cloud has 11 years more operational history than Cerebrium, 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.