We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Our mission is to bring frontier-grade infrastructure to everyone. We're starting by building large scale high performance computing (HPC) clusters for quantitative trading firms to run parallel simulation workloads such as backtesting. Our technology generalizes to critical AI workloads such as post-training with reinforcement learning, fine-tuning, long-horizon agents with high tool use, and batch inference.
From the launch
We’re building large scale high performance computing (HPC) clusters for traditional hedge funds and AI native trading firms to run parallel simulation workloads such as backtesting. Zibra Labs: YC Spring 2026: Zibra Labs: HPC for Quant Trading Firms Running Backtesting at Scale
