- Ampere Generation GPU
- 16 GB vRAM
- 24 GB RAM
- 8 vCPUs
Aqaba.ai offers high-performance GPU cloud instances powered by renewable energy. Instantly access the latest GPUs like H100s, A100s, and RTX for AI workflows, fine-tuning large language models, and training custom AI models with seamless scalability and dedicated resources.
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Aqaba.ai
Aqaba.ai offers high-performance GPU cloud instances powered by renewable energy. Instantly access the latest GPUs like H100s, A100s, and RTX for AI workflows, fine-tuning large language models, and training custom AI models with seamless scalability and dedicated resources.
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What is Aqaba.ai?
Aqaba.ai is a cloud GPU computing service designed to accelerate AI research and development by providing instant access to powerful GPUs such as H100s, A100s, and RTX cards. The platform enables developers to fine-tune the latest large language models, train custom AI models, and efficiently run AI workloads in a scalable environment. What sets Aqaba.ai apart is its commitment to sustainability, powering its infrastructure with renewable energy. Users get dedicated GPU instances exclusively allocated to them, allowing full control and maximizing performance without resource sharing or interruptions due to idling. With an easy-to-use prepaid credit system and support through live Discord and email, Aqaba.ai is trusted by over 1,000 AI developers worldwide.
Who will use Aqaba.ai?
- AI researchers and developers
- Machine learning engineers
- Startups building AI products
- Data scientists
- Academic institutions
- Businesses scaling AI workloads
- Developers fine-tuning large language models
How to use the Aqaba.ai?
- Step1: Register an account on Aqaba.ai.
- Step2: Purchase prepaid credits for GPU usage.
- Step3: Launch a GPU instance with the desired configuration (H100, A100, RTX).
- Step4: Connect to your GPU instance to upload datasets and start training or fine-tuning AI models.
- Step5: Monitor and control your GPU instance lifecycle as needed.
- Step6: Use the instance exclusively for your workloads without interruptions due to inactivity.
- Step7: Stop the instance when finished to manage credits effectively.
Platform
- web
Aqaba.ai's Core Features & Benefits
The Core Features
- Instant access to H100, A100, and RTX GPU instances
- Cloud GPU instances powered by renewable energy
- Dedicated single-user GPU allocation
- Prepaid credit system for flexible usage
- Support for training, fine-tuning, and deploying AI models
- Scalable GPU resources with no automatic termination for inactivity
- Live Discord and email support
The Benefits
- Sustainable and eco-friendly GPU computing
- High-performance GPU access without upfront hardware investment
- Full control over GPU instance lifecycle
- Affordable pricing and easy credit management
- Enhanced productivity for AI developers and researchers
- Seamless scalability for varying computational needs
- Trusted by a growing community of AI developers
Aqaba.ai's Main Use Cases & Applications
- Training custom AI and machine learning models
- Fine-tuning pre-trained large language models (LLMs)
- Running computationally intensive AI workflows
- AI product development and prototyping
- Academic research involving GPU computing
- Scaling up AI workloads for startups and enterprises
Aqaba.ai's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | Pay-as-you-go |
| Is credit card required | No |
| Paid from | 0.39 USD |
| Has lifetime plan | No |
| Billing frequency | Hourly |
Details of Pricing Plan
A4000
0.39 USDRTX3090
0.45 USD- Ampere Generation GPU
- 24 GB vRAM
- 32 GB RAM
- 12 vCPUs
A5000
0.49 USD- Ampere Generation GPU
- 24 GB vRAM
- 32 GB RAM
- 12 vCPUs
A6000
0.79 USD- Ampere Generation GPU
- 48 GB vRAM
- 64 GB RAM
- 24 vCPUs
RTX6000Ada
0.99 USD- Ada Generation GPU
- 48 GB vRAM
- 64 GB RAM
- 24 vCPUs
H100
2.99 USD- Hopper Generation GPU
- 80 GB vRAM
- 128 GB RAM
- 32 vCPUs
FAQs of Aqaba.ai
Aqaba.ai Company Information
How to install?
Aqaba.ai Reviews
5/5
Comments (1)
Aqaba
June 24 2025
I'm excited to share Aqaba AI with this amazing community!
The problem we're solving: Getting access to powerful GPUs for AI training shouldn't require selling your kidney or waiting in endless queues. And it definitely shouldn't come at the cost of our planet.
What makes us different:
🌱 100% renewable energy - Every single GPU instance runs on green power
⚡ Instant deployment - Launch H100s, A100s, RTX GPUs in seconds, not hours
🔒 Dedicated resources - Each GPU is exclusively yours - no performance surprises
💰 Simple pricing - Pay-as-you-go with prepaid credits. No hidden fees or complex tiers
Who it's for: AI developers, researchers, and startups training everything from computer vision models to large language models.
Why we built this: After watching talented developers abandon projects due to GPU costs and availability issues, we knew there had to be a better way. AI should be accessible to everyone, not just big tech companies with unlimited budgets.
What's next: We're actively working on expanding our GPU selection and adding team collaboration features. Your feedback today will directly shape our roadmap!
What GPU shortages or AI infrastructure challenges have you faced? Would love to hear your experiences and how we can help!
Visi to launch your first GPU instance today 🚀
Aqaba.ai's Main Competitors and alternatives?
- Google Cloud AI Platform
- AWS EC2 GPU Instances
- Microsoft Azure GPU VMs
- Paperspace Gradient
- Lambda Labs GPU Cloud
- RunPod
- Vast.ai
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