
Koyeb
Best for Developers deploying containerized AI inference APIs without managing servers.

Best for Teams needing powerful virtual GPU desktops for visualization and prototyping.
Cloudalize pioneered the concept of GPU-powered virtual workspaces (DaaS) specifically engineered for heavy 3D rendering, CAD, and AI development. Based in Belgium, Cloudalize provides instant, secure access to high-end NVIDIA graphics capabilities from any device, essentially turning a standard laptop into a supercomputer. While primarily used for AEC (Architecture, Engineering, Construction) and entertainment, AI developers use Cloudalize to spin up powerful, secure desktop environments for localized model prototyping and heavy data visualization without purchasing local hardware.
| GPU Models | RTX A5000, T4, A40 |
| GPU Types | A40, RTX A5000, t4 |
| Headquarters | Ghent, Belgium |
| Founded | 2010 |
| Availability | Available Now |
| Website | cloudalize.com ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Cloudalize GPU cloud pricing starts from $1.00/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Cloudalize offers RTX A5000, T4, A40 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Cloudalize operates data centers in EU, US. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Cloudalize and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Cloudalize offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

Best for Developers deploying containerized AI inference APIs without managing servers.

Best for Funded AI Startups, Y Combinator Companies, LLM Foundation Models

Best for Batch processing, Image Generation APIs, Highly parallel cheap inference