DigitalOcean vs Jarvis Labs

On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.

Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.

GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.

Transparent per-hour pricing with no hidden fees or complex instance families.

Get access to powerful GPUs instantly with zero setup complexity

Boot templates in 1.8 seconds or VMs in under 90 seconds

Pay-as-you-go with per-minute billing and no upfront commitments

Comprehensive command-line and Python SDK with agent integration for Claude Code, Cursor, and other AI coding agents

Scale up to 8 GPUs per instance for demanding workloads

Easy pause, resume, and delete functionality for cost optimization