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Expanse

AI · US · Early-stage
expanse.sh
Deep LearningB2BInfrastructureML

Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time). We’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem first hand and the only fix was to over-provision and burn millions. Ismaeel built the first multimodal HPC resource predictor as research at EPCC (Edinburgh’s Parallel Computing Centre), which beat every published baseline. This is the tool we wish we had.

Founded
2026
Headquarters
San Francisco, CA, USA
Team size
1–10
Stage
Early-stage
📊 Coliseo ratings
🏆 Overall 1488 Elo
1489
💰 Conviction
Provisional
1494
🔥 Momentum
Provisional
1481
🧲 Talent
Provisional
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