Zibra Labs
Distributed runtime for AI workloads at scale
About
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.
Topics
- Location
- San Francisco, CA, United States
- Team size
- 2 employees
- YC batch
- Spring 2026
- Status
- Active
- Stage
- Early stage
