Frequently Asked Questions

Credits are consumed based on GPU hours used. 1 credit = 1 GPU hour of compute. Credits never expire and can be used whenever you need them.

Create an account, purchase credits, choose a GPU config and ML framework preset, and launch your first instance. You can connect via Jupyter or SSH within seconds.

We offer NVIDIA A100 (40GB/80GB), H100, and RTX 4090 GPUs. All instances come with CUDA 12, cuDNN, and your choice of ML framework pre-installed.

There are no subscriptions to cancel. You simply buy credits when you need them, and they never expire. This gives you complete flexibility and control over your spending.

Your instance will pause gracefully, preserving your checkpoints and data. Top up credits instantly and resume training exactly where you left off.

Yes, unused credits can be refunded within 30 days of purchase. See our refund policy for complete details and instructions on how to request a refund.

We accept Visa and Mastercard and support secure payment processing through industry-standard providers.

Yes, all major ML frameworks are pre-installed: PyTorch, TensorFlow, JAX, scikit-learn, XGBoost, and more. You can also install any custom packages via pip or conda.

Absolutely. Every instance comes with JupyterLab pre-configured. Connect via your browser and start coding immediately. VS Code remote is also supported.

Each instance includes persistent NVMe storage for your datasets and model checkpoints. Data is preserved across sessions. We also support mounting S3 and GCS buckets directly.

Yes, launch multiple instances for parallel experiments or distributed training. Each instance consumes credits independently based on GPU hours.

Yes, all data is encrypted using industry-standard protocols (TLS 1.3 in transit, AES-256 at rest). Model weights and datasets are stored in isolated environments.

Only you have access to your GPU instance unless you explicitly share access with team members. All connections are authenticated and encrypted.

Yes, we are fully GDPR compliant. You have full control over your data, including the right to access, correct, export, and delete your information at any time.

Our support team is available via email and live chat during business hours. We aim to respond to all inquiries within 24 hours, usually much faster.

Yes, we provide comprehensive docs covering GPU setup, framework configuration, distributed training, and best practices. Visit our Documentation page for guides and resources.

Absolutely! Our support team can help you configure your environment, and we also offer detailed setup guides. For hands-on ML assistance, consider hiring a Data Expert.