Provider Overview
Strengths & Best For
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
GPUaaS delivers H100 and A100 GPU compute as a fully managed service, enabling European AI teams to access high-performance GPU infrastructure without any infrastructure overhead or operational complexity. On-demand billing and a managed service model make it easy to scale AI training and inference workloads without dedicated DevOps resources. A strong choice for European AI teams that want managed GPU-as-a-service with EU data residency and minimal operational burden.
- Managed service
- Simple onboarding
- European presence
Live GPU Pricing
Region Coverage
Popular Comparisons
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.
GPUaaS — specialist provider
GPUaaS delivers H100 and A100 GPU compute as a fully managed service, enabling European AI teams to access high-performance GPU infrastructure without any infrastructure overhead or operational complexity. On-demand billing and a managed service model make it easy to scale AI training and inference workloads without dedicated DevOps resources. A strong choice for European AI teams that want managed GPU-as-a-service with EU data residency and minimal operational burden.
Billing model comparison
Cerebrium uses a Per-second usage billing model with a minimum commitment of None. GPUaaS uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Cerebrium is best suited for: Real-time inference APIs, Model deployment, Serverless AI. Its key strengths are serverless deployment, fast cold starts, custom containers. GPUaaS is best suited for: Teams avoiding infrastructure, European AI workloads, Managed inference. Its key strengths are managed service, simple onboarding, european presence. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Cerebrium offers Standard support across 2 regions (US, EU). GPUaaS offers Standard support across 1 region (EU). Cerebrium's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Cerebrium vs GPUaaS
Cerebrium was founded in 2022 and is headquartered in Cape Town, South Africa. GPUaaS was founded in 2022 and is headquartered in Europe. Both providers were founded in the same year — evaluate them on current pricing, region coverage, and support tier rather than operational history. 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.