Airon
Airon: Hourly dedicated GPU servers, from RTX A5000 systems to eight-GPU configurations. Ranked #15 of 58 in GPU Server Hosting by our editors (5.9/10); pricing: From $0.45; best for hourly bare-metal GPU capacity across model sizes.
At a glance
- Editor score5.9 / 10
- PricingFrom $0.45
- Best forHourly bare-metal GPU capacity across model sizes
- Free planNo
- GPU count8 GPUs
- Founded2019 · Sweden
- Facts checked23 Sep 2026
Where it wins
- Hourly plans span RTX A5000, H100, H200 and B200 GPUs.
- Private, non-shared bare-metal infrastructure for workloads.
- Dashboard, API, SDK and CLI access with usage monitoring.
Where it doesn't
- No free plan; the listed GPU servers are paid hourly.
- The largest listed configurations start at $15.04 per server per hour.
- Email is the only stated support channel.
Our verdict on Airon
Airon provides dedicated, non-shared bare-metal GPU compute for organizations running AI workloads. Its named uses include training, fine-tuning, inference, AI application development, data analysis, and scientific or industrial simulations. GPU servers sit alongside general compute and storage, so the service may suit teams that want to deploy and monitor those resources through one platform. It is positioned for AI companies and organizations with critical or sensitive workloads, and the stated company-size fit spans small teams through enterprise buyers.
The published plans show hourly GPU server pricing, starting at $0.45 per server per hour for a system with one NVIDIA RTX A5000 24GB GPU, 256 GB system RAM, and 2 x 3.2 TB storage. A one-GPU H100 80GB PCIe server is $2 per hour and lists 512 GB system RAM and 4 x 3.2 TB storage. At the larger end, eight-GPU HGX systems are listed with 2048 GB system RAM and 4 x 3.2 TB storage: H100 at $15.04 per hour, H200 at $21.04, and B200 at $33.04. This range lets buyers compare configurations by GPU and hourly cost; teams should estimate runtime against their budget before choosing a larger system.
Access is available through a dashboard, API, SDK, and CLI, with tools to monitor usage, performance, and capacity and scale compute as workloads grow. Private, non-shared infrastructure is a meaningful fit for organizations seeking dedicated capacity rather than shared GPU resources. Airon is a better match for buyers who need configurable bare-metal GPU servers and can manage hourly usage. Teams looking for a free tier, or who require a support channel beyond email, should consider alternatives. The listing also supports cloud and self-hosted deployment, broadening its potential fit across operating preferences.
Airon pricing
All 5 Airon plans and prices →
Airon fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| GPU count | 8 GPUs |
| GPU memory | 24 GB |
| System RAM | 256 GB |
| Storage included | 6.4 TB |
| GPU interconnect | Not verified |
| Billing term | Hourly |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | From $0.45 (source) |
| Website | airon.ai |
| Facts checked | 23 Sep 2026 |
Alternatives to Airon
- Tata Communications Vayu AI Cloud GPUA cluster-oriented GPU cloud with InfiniBand, parallel storage and managed Kubernetes tooling.9.0
- OVHcloud GPU Dedicated ServerDedicated bare-metal GPU hosting with strong hardware options but a high monthly entry price.8.2
- IONOS GPU ServerA flexible-term dedicated GPU service with strong hardware options but a high entry price.7.7
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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