Overview / Description
GhostNexus is a GPU cloud platform built specifically for teams that need to keep their compute inside the EU. All workloads run on Hetzner servers in Frankfurt and Helsinki — data never crosses EU borders, making it a straightforward choice for GDPR-sensitive AI, rendering, or research workloads.
Pricing starts at €0.22/hr for an RTX 3070 and €0.50/hr for an RTX 4090, billed per second with no minimums and no contracts. The platform claims to undercut AWS by 40% and RunPod by 25%.
Each container runs Docker-isolated with --network=none and --cap-drop=ALL, giving hard network and capability boundaries by default. New accounts get €15 in free credits with no credit card required.
Best suited for EU-based developers, researchers, and studios running AI inference, model fine-tuning, or GPU-accelerated rendering who need a documented legal basis for keeping data on-continent.
Used For
AI tool for creators toolkit workflows
Pricing
RTX 4090
€0.50/hr, billed per second. No minimums or contracts. €15 free credits on signup.
Pros & Cons
Pros
• All compute runs on Hetzner hardware in Frankfurt and Helsinki — data never crosses EU borders, providing a clear GDPR legal basis • Per-second billing with no minimums or contracts — pay only for what you use, billed to the millisecond • Claims 40% cheaper than AWS and 25% cheaper than RunPod for equivalent GPU capacity • Containers run Docker-isolated with --network=none and --cap-drop=ALL by default — hard security boundaries without configuration • €15 free credits on signup with no credit card required
Cons
• EU-only infrastructure limits options for teams needing compute closer to Asia-Pacific or North American end users • GPU selection focused on RTX 3070, RTX 4090 — A100 and H100 availability is not fully confirmed in public documentation • Relatively new platform — uptime SLAs and enterprise support terms are not publicly published
Questions & Answers
Alternatives
Compare this tool against close alternatives in the same category, focusing on output quality, onboarding speed, and workflow fit.