About Zibra Labs
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.
Company details
Funding
Total raised
$500K
Last stage
Seed
Investors
Founders
Zac Policzer
After 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.
LinkedIn
Ibrahim Rabbani
Former tech-lead of Ray (Anyscale). Previously building databases (Venice, Liquid, Espresso) at LinkedIn. Background in large-scale distributed systems.
LinkedInWhat happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.