On tail latency: KVM VM creation is 99.5% of the fork cost - create_vm, create_irq_chip, create_vcpu, and restoring CPU state. The CoW mmap is ~4 microseconds regardless of load. P99 at 1000 concurrent is 1.3ms. The mmap CoW page faults during execution are handled transparently by the host kernel and don't contribute to fork latency.

On snapshot staleness: yes, forks inherit all internal state including RNG seeds. For dependency updates you rebuild the template (~15s). No incremental update - full re-snapshot, similar to rebuilding a Docker image.

On the memory number: 265KB is the fork overhead before any code runs. Under real workloads we measured 3.5MB for a trivial print(), ~27MB for numpy operations. But 93% of pages stay shared across forks via CoW. We measured 100 VMs each running numpy sharing 2.4GB of read-only pages with only 1.75MB private per VM. So the real comparison to E2B's ~128MB is more like 3-27MB depending on workload, with most of the runtime memory shared.