GPU Hosting

Skytells GPU Hosting provides on-demand access to high-performance computing resources specifically optimized for AI workloads. Train and deploy your models on the latest GPU hardware without the capital expense and management overhead of owning physical infrastructure.

Available Hardware

We offer a range of GPU options to match your performance and budget requirements:

• NVIDIA A100: Ultimate performance for the most demanding workloads
• NVIDIA A10G: Balanced performance for training and inference
• NVIDIA T4: Cost-effective option for smaller models and inference
• AMD MI250X: High-performance alternative for compatible workloads

Instance Types

• Development: Single-GPU instances for experimentation
• Training: Multi-GPU configurations with high-speed interconnects
• Inference: Optimized for model serving with low latency
• Cluster: Distributed computing environments for massive workloads

Platform Features

• Pre-installed Frameworks: TensorFlow, PyTorch, JAX, and more
• Container Support: Docker and Kubernetes integration
• Storage Options: High-performance NVMe and persistent volumes
• Networking: Low-latency interconnects for distributed training
• Auto-scaling: Dynamically adjust resources based on workload

Management Tools

• Web-based control panel
• Command-line interface
• Terraform provider
• REST API for programmatic control
• Monitoring and alerting