Open-source AI infrastructure
Compare Everstack and E2B on sandbox isolation, concurrency limits, per-second compute pricing, self-hosting, and whether the sandbox comes with the rest of the sta…
E2B caps concurrent sandboxes at 20 on Hobby and 100 on Pro, with extra concurrency purchasable up to 1,100, and session length at 1 hour and 24 hours respectively. Agent workloads are bursty, so a concurrency ceiling is usually the first constraint teams hit, and hitting it is a procurement conversation rather than a scaling one. Figures August 2026.
E2B is Apache-2.0 across two repositories, e2b-dev/E2B for the SDK and e2b-dev/infra for the Go infrastructure, and it publishes a root-level self-host.md describing a Terraform deployment: GCP is marked GA, AWS is beta, and Azure and generic Linux are listed unchecked. It expects a Cloudflare account and domain, Postgres, Packer and Terraform 1.7.5. What stays hosted-only is the commercial product and the pricing page, across Hobby, Pro and Ultimate tiers.
E2B publishes its rates openly, which is rarer in this category than it should be: 1 vCPU at $0.000014 per second up to 8 vCPU at $0.000112, plus $0.0000045 per GiB per second of RAM, with 10 GiB of storage on Hobby and 20 GiB on Pro. Hobby is free with a one-time $100 of credits; Pro is $150 per month.
If sandboxing is the whole problem, E2B has the more mature developer experience and a larger community, and adding a platform to get a sandbox is over-buying. Both use Firecracker microVMs, so isolation strength is not the differentiator. E2B's homepage gives two different startup figures, less than 200 ms and 80 ms, so treat neither as an authoritative number.