Promigence vs Tensorlake
Sandbox Benchmark Comparison · Updated October 30, 2026
vs
Promigence was faster in both shared sandbox benchmarks.
Head to head
Burst TTI
Median time to interactive over time
PromigenceTensorlake
Median total workload time over time
PromigenceTensorlake
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Methodology
- One workload, every provider. The same script, payload, and model hit every provider, addressed the way its own API expects. Nobody gets a tuned or special path.
- Repeated on a schedule. Every suite runs many iterations per provider, automated on a recurring schedule, so results reflect steady state rather than one lucky request.
- Raw results published. Every run is committed as JSON to the public benchmarks repo, next to the code that produced it. Nothing is cherry-picked or held back.
- How this comparison is built. Each benchmark compares the two providers' medians; results within 5% count as roughly even. A comparison is published only when both providers completed at least 50% of runs in 2 or more shared benchmarks run in the last 30 days. If a provider’s latest run of a benchmark failed, its most recent successful run from that window is used instead.
Frequently asked questions
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Promigence was faster in both shared sandbox benchmarks. In Burst TTI (October 30, 2026), Promigence had a median time to interactive of 65ms versus 1.03s for Tensorlake, 15.7x faster. In DAX (October 23, 2026), Promigence had a median total workload time of 36.19s versus 78.16s for Tensorlake, 2.16x faster.
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