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.
Founders
Ibrahim Rabbani· Founder and CEOFormer tech-lead of Ray. Previously building databases at LinkedIn. I've built systems that run on hundreds of thousands of machines and serve over a billion people.
Zac Policzer· Founder and CTOAfter a career making software that serves over a billion people, with a background primarily in large databases, I'm now building HPC clusters at Zibra Labs The past two years I've been focused on what the next generation of AI data center software looks like — and working to shape that future. I've been fortunate to do much of this in open source, which I'm deeply passionate about. Talk to me about databases, Mahjong, guitars, or weird horror movies. I'm currently building Zibra Labs.
Product launches · 1 launch
HPC Clusters for Parallel Workloads on Spot-instances Across Hyperscalers and Neoclouds.
Change history · 4 recorded
- June 13, 2026
- Pitch updated07:00 PM
- June 2, 2026
- Description rewritten07:00 PM
- Tags updated07:00 PM
- May 18, 2026
- New launch posted: Zibra Labs: HPC for Quant Trading Firms Running Backtesting at Scale08:53 PM