Scale Invitational 2026 — 100,000 Concurrent Sandboxes
100,000
Concurrent Sandboxes.
June 1st.
The most ambitious sandbox scale test ever run. Any provider can participate. All results published openly on June 1st, 2026.
Why this matters
Cold-start benchmarks are useful, but they only tell part of the story. As AI agents, code interpreters, and large-scale testing workloads grow, the real differentiator is scaling performance under extreme load.
We run daily benchmarks that measure sandbox performance. The Scale Invitational goes further — it answers the question every production team eventually asks: can you actually handle 100K at once?
No marketing claims. No cherry-picked results. One standardized workload, every participant runs it simultaneously, everything published.
What we're testing
Scale to 100,000 concurrent sandboxes
Every participant must successfully launch and sustain 100K sandboxes simultaneously under production-like conditions.
Cold-start latency — p50, p95, p99
Full latency distribution from request to ready sandbox, measured at scale rather than in isolation.
Success rate
What percentage of the 100K sandboxes came up successfully? Failures count.
Who can participate
The Scale Invitational is open to any sandbox provider willing to run the workload under the same conditions as everyone else.
We've already started inviting consistent top performers from our Benchmark Friday series. We're also opening the floor to the community.
Know a provider that should compete?
Reply to our post on X and cc/tag them directly. If they're interested, they can reach out and we'll coordinate all the details.
Event Details
June 1, 2026
Testing day
100,000 concurrent sandboxes
Same workload, every participant
Open results
Published permanently for the community
- 1
Now
Providers request to join the Scale Invitational on X.
- 2
May 2026
Invitations confirmed. Methodology finalized and published.
- 3
June 1, 2026
Testing day. All participants run the same workload simultaneously.
- 4
June 2026
Full results, deep-dive analysis, and permanent results pages published.
Built on transparency
No pay-to-play. No cherry-picked results. The same methodology behind our daily benchmarks — just at a scale nobody's attempted before.
Open methodology · Raw data published · View benchmarks on GitHub ↗