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E2B uses Firecracker microVMs that provide hardware-level isolation with dedicated kernel instances, making sandbox escape impossible. Docker containers share the host kernel, creating potential security vulnerabilities that E2B's architecture completely eliminates.
Yes, sandboxes have full outbound internet access by default, allowing code to install packages via pip/npm, make API calls, and fetch external data. Internet access and firewall rules are configurable per sandbox for security-sensitive applications.
E2B sandboxes are ephemeral - all data, installed packages, and computational state is permanently deleted upon termination. To persist results, code must explicitly export data through the SDK or write to external storage before destruction.
No, E2B currently does not support GPU-equipped sandboxes. For GPU-dependent ML training or inference workloads, consider Modal, Replicate, or RunPod, while using E2B for general-purpose secure code execution.
E2B uses per-second usage billing based on vCPU and memory allocation. For example, 2 vCPUs cost $0.000028/second. The Hobby tier includes $100 in usage credits, while Pro and Enterprise add monthly base fees plus usage costs.
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