High-performance GPU-accelerated AI infrastructure

You can launch your first GPU instance in under 5 minutes. Our platform provides:

• Pre-configured environments with Docker, CUDA, and popular ML frameworks (PyTorch, TensorFlow) already installed
• One-click deployment for common AI/ML workloads
• SSH and API access immediately after provisioning
• Jupyter Lab and development tools ready to use

Simply select your GPU configuration, choose your OS/framework, and you'll have a fully operational instance ready for your workloads.

Our GPU instances support virtually any AI/ML framework or software you need:

Full root access means you can install any additional software, custom libraries, or proprietary tools your workflow requires. You can also bring your own Docker images or create custom environments from scratch.

100% transparent pricing with no hidden fees. Here's how it works:

• Pay-per-hour billing calculated to the second (minimum 1 minute)
• Monthly caps available - save up to 30% with monthly commitments
• No data transfer fees for reasonable usage (fair use policy applies)
• No setup fees or account minimums
• Storage included - 100GB NVMe SSD per instance at no extra cost

You can monitor your usage in real-time through our dashboard and set up billing alerts to stay within budget.

Absolutely! Our platform is built for elastic scaling:

• Horizontal scaling: Spin up multiple GPU instances in parallel for distributed training or inference
• Vertical scaling: Upgrade from 1x to 2x, 4x, or 8x GPU configurations as your needs grow
• GPU migration: Switch between L4, L40S, and H100 GPUs based on your workload requirements
• Auto-scaling via API: Programmatically create and destroy instances based on workload
• Instant shutdown: Stop instances when not in use to save costs - no long-term contracts required

Our API and CLI tools make it easy to automate scaling based on your application's needs, whether you're training models during business hours or running 24/7 inference services.

Privacy and security are our top priorities:

Your training data, models, and code remain completely private and are never accessed by our team unless you explicitly grant support access for troubleshooting.

Here's a quick guide to help you select the right GPU:

We offer comprehensive support with industry-leading uptime:

Automated monitoring ensures GPU health is continuously checked. In the rare event of hardware failure, instances are automatically migrated to healthy nodes with minimal disruption.

We also provide detailed documentation, tutorials, and API references to help you get the most out of your GPU instances.

Yes, absolutely! We support complete customization:

• Docker Hub integration: Pull any public or private Docker images
• Custom Dockerfiles: Build your own containers with specific dependencies
• Private registry support: Connect your AWS ECR, Google GCR, or other private registries
• Persistent volumes: Attach storage volumes that persist across instance restarts
• Environment variables: Securely inject secrets and configuration

You have full root access, so you can also build environments from scratch using bare Ubuntu/CentOS and install exactly what you need.

Our infrastructure is built for high-performance data transfer and storage:

All storage options are designed for GPU-optimized data loading, ensuring your GPUs aren't bottlenecked by slow I/O.

Yes! We offer flexible commitment options to help you save:

No commitment required: You can also stick with hourly billing for maximum flexibility. Many customers start with hourly pricing and switch to commitments once they understand their usage patterns.