Aqaba.ai
Affordable GPU instances powered by renewable energy.
Aqaba AI is a developer-first GPU cloud built to eliminate the bottlenecks AI teams face every day: unpredictable queues, shared performance, and hidden billing.
With Aqaba, you get instant access to dedicated GPUs—including H100s, A100s, and RTX cards—with transparent hourly pricing and no sharing. It’s simple: launch what you need, when you need it, and get back to building.
The Cloud GPU Experience—Without the Headaches
Most cloud GPU platforms slow you down:
- Long waitlists for top-tier hardware
- Shared instances with throttled performance
- Opaque pricing and surprise charges
- Multi-minute instance launches
- Unsustainable infrastructure waste
Aqaba was built to change that.
What Sets Aqaba AI Apart
🚀 Launch-Ready in Seconds
Spin up GPU-powered environments in under a minute—yes, even for H100s. Whether you're training LLMs or running vision models, Aqaba keeps your workflow unblocked.
🔒 100% Dedicated GPU Access
Every GPU instance is exclusively yours for the entire session:
- No shared memory or noisy neighbors
- No throttling or performance drift
- Full control of your runtime environment
That means your training runs are stable, repeatable, and fast—every time.
💵 Clear, Hourly Pricing
Know exactly what you're paying for:
- Hourly rates by GPU type
- No long-term commitments
- No hidden fees or overages
- Scale up or down instantly
Run your experiments without budgeting guesswork.
🌱 Infrastructure That Respects the Planet
Aqaba’s cloud is built for energy-efficient scaling, with smart resource scheduling that minimizes waste and idle capacity.
You get high-performance compute—without the environmental guilt.
Built for Real AI Workflows
🧠 LLM Training & Fine-Tuning
Deploy dedicated H100 or A100 instances and start training your large language models in minutes—no queues, no interference.
👁️ Computer Vision at Scale
Train detection, classification, or segmentation models on image/video data using consistent, dedicated performance.
⚙️ Lightweight Prototyping
Use RTX cards for fast, low-cost prototyping and inference testing—perfect for dev-stage experimentation.
Who Uses Aqaba AI?
Aqaba is trusted by:
- Machine Learning Engineers scaling model training workflows
- AI Researchers exploring new architectures or testing long training runs
- Startups building on a lean budget with enterprise-grade GPU access
- Data Science Teams running compute-heavy pipelines on demand
Framework-agnostic and built for flexibility, Aqaba supports PyTorch, TensorFlow, JAX, CUDA, and custom environments via Docker or conda.
Why Developers Stick with Aqaba
- 🚀 Under-60-second instance launches
- 🔒 Dedicated performance every time
- 💸 Simple, honest pricing
- 🧱 Preloaded with popular frameworks
- 📦 Docker + conda support out of the box
- 🎯 Zero friction from build to train
It’s the cloud GPU experience you should’ve had from the beginning.
FAQs
How fast can I launch an instance?
Most instances—H100, A100, or RTX—launch in under 60 seconds.
Are all GPU instances really dedicated?
Yes. Every GPU you launch is exclusively reserved for you. No performance sharing.
What frameworks are pre-installed?
Common stacks like PyTorch, TensorFlow, and JAX are ready to go. You can also load custom setups via Docker or conda.
How does pricing work?
Hourly billing based on GPU type. No surprises—storage, bandwidth, and usage are all transparent.
Is there a minimum usage requirement?
No. Aqaba is designed for on-demand usage. Spin up what you need, shut it down when you're done.
Train Smarter, Launch Faster, Pay Fairer
Aqaba AI gives developers exactly what they need to move faster: instant access to the right GPUs, with no guessing, throttling, or delays.
If you're building real AI products, you deserve infrastructure that works like you do—fast, focused, and fair.
Launch your first dedicated GPU in under a minute. No queues. No lock-ins. Just performance.
