GPU Instance provides cost-effective, accessible high-performance computing with easy GPU access, making it ideal for complex AI tasks. Users benefit from on-demand rental, optimizing both efficiency and cost-effectiveness.
Container Image: Docker-compatible OCI image reference, supporting both public registries and private repositories with authentication.
Environment Variables: Runtime configuration key-value pairs injected into containers for dynamic configuration and secrets management.
HTTP/TCP Ports: Network endpoints exposed by containers for communication. HTTP ports (e.g., 80, 443) for web services, TCP ports for general network protocols.
Container Disk: Root filesystem partition containing OS and system binaries. Mounted as read-write at container startup.
Volume Disk: High-performance ephemeral storage directly attached to the GPU instance. Optimized for I/O intensive workloads but non-persistent across instance restarts.
Network Volume: Network-attached storage service that allows users to access and manage data through a network. Data can be stored on remote servers and accessed from any device.