Deploy GPUsIn Seconds
The fastest way to access H100s, A100s, and other high-performance GPUs. Launch AI workloads, train models, and run inference with per-second billing.
Everything You Need forGPU Computing
From research and development to production inference, PodStack provides enterprise-grade GPU infrastructure with developer-friendly tools.
Instant GPU Access
Deploy H100, A100, and other high-performance GPUs in under 30 seconds with global availability.
Pay-Per-Use Billing
No upfront costs or long-term commitments. Pay only for what you use with per-second billing.
Pre-configured Templates
PyTorch, TensorFlow, Stable Diffusion, and custom environments ready to use out of the box.
Flexible Storage
Choose from Local SSD, Network storage, or persistent volumes that grow with your needs.
Global Infrastructure
Deploy in US, Europe, and Asia-Pacific regions with 99.9% uptime guarantee.
Real-time Monitoring
Monitor GPU utilization, costs, and performance with live dashboards and alerts.
Features & Benefits
PodStack is built by AI professionals with deep industry experience. We provide the tools and support you need, from training models to deploying AI services.
Access powerful NVIDIA and AMD GPUs instantly. Perfect for training complex AI models without upfront hardware costs.
Deploy your AI models for inference with an infrastructure that scales automatically based on demand, ensuring high availability and low latency.
Fine-tune state-of-the-art LLMs on your custom datasets. Our platform simplifies the process, allowing you to create specialized models efficiently.
Securely host your trained models and integrate them into your applications with ease. We provide robust and reliable hosting solutions.
Complete Control Panel
Experience the power of our comprehensive dashboard. Every feature designed to simplify your AI workflow from deployment to management.
Quick Deployment
Launch in Minutes, Not Hours
Transform your AI models into production-ready applications with our intuitive deployment interface. Select your preferred GPU, configure environment settings, and launch your project with a single click.
- One-click model deployment
- Custom environment configuration
- Real-time deployment status
- Resource optimization suggestions
Pod Management
Complete Container Control
Monitor and manage your running containers with precision. Track resource usage, view logs, scale workloads, and troubleshoot issues all from a centralized dashboard that gives you complete visibility.
- Real-time performance monitoring
- Interactive log viewing and filtering
- One-click scaling and restart
- Resource usage analytics
Storage Control
High-Speed Data Management
Efficiently manage your datasets, models, and project files with our high-performance storage system. Upload large datasets, organize your files, and access them instantly with blazing-fast speeds optimized for AI workloads.
- Drag & drop file uploads
- Intelligent file organization
- Version control for datasets
- High-speed data transfer
Jupyter Notebooks
Interactive Computing Platform
Access powerful Jupyter Notebooks directly in your browser with our web-based interactive computing platform. Write, execute, and visualize your code in real-time with full GPU acceleration support for machine learning workflows.
- Pre-configured ML environments
- GPU-accelerated computing
- Collaborative notebook sharing
- Integrated visualization tools
- Popular libraries pre-installed
Industry-Leading GPUs
Access the latest NVIDIA GPUs with transparent, competitive pricing
NVIDIA H100
80GB HBM3
NVIDIA A100
80GB HBM2e
NVIDIA L40S
48GB GDDR6
Supported GPUs
List of some GPUs and over 100 other types of GPUs
NVIDIA
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Click | Learn | Build | Deploy
Your MLOps Journey Simplified
Pod Templates
Preconfigured Environments to Jumpstart your ML Workflow
Ready to Accelerate Your AI?
Join thousands of developers and researchers using PodStack to train models, run inference, and deploy AI applications at scale.