Provider Overview
Strengths & Best For
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
Velokey provides H100, A100, and RTX GPU cloud instances with low-latency provisioning and competitive on-demand pricing for AI and ML workloads, making it easy to spin up GPU compute quickly for training runs and inference experiments. Fast provisioning and straightforward billing lower the barrier to entry for AI startups and developers who need quick access to professional NVIDIA hardware. A practical on-demand GPU cloud for teams that value speed of provisioning and transparent pricing.
- Fast provisioning
- Competitive pricing
- Low latency
Live GPU Pricing
Region Coverage
Popular Comparisons
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.
Velokey — specialist provider
Velokey provides H100, A100, and RTX GPU cloud instances with low-latency provisioning and competitive on-demand pricing for AI and ML workloads, making it easy to spin up GPU compute quickly for training runs and inference experiments. Fast provisioning and straightforward billing lower the barrier to entry for AI startups and developers who need quick access to professional NVIDIA hardware. A practical on-demand GPU cloud for teams that value speed of provisioning and transparent pricing.
Billing model comparison
GPUaaS uses a On-demand billing model with a minimum commitment of None. Velokey 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
GPUaaS is best suited for: Teams avoiding infrastructure, European AI workloads, Managed inference. Its key strengths are managed service, simple onboarding, european presence. Velokey is best suited for: Quick experiments, Inference workloads, AI startups. Its key strengths are fast provisioning, competitive pricing, low latency. 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
GPUaaS offers Standard support across 1 region (EU). Velokey offers Standard support across 1 region (US). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: GPUaaS vs Velokey
GPUaaS was founded in 2022 and is headquartered in Europe. Velokey was founded in 2023 and is headquartered in United States. GPUaaS has 1 years more operational history than Velokey, 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.