We believe the next breakthrough in AI shouldn't be gated by access to compute. NeuralVane exists to give every team — from two-person startups to frontier labs — the infrastructure they need to push boundaries.
The AI revolution is being held back by infrastructure, not ideas.
When we started NeuralVane in 2022, we saw a fundamental problem: the teams building the most important AI systems were spending more time fighting infrastructure than training models. GPU availability was scarce, networking was a bottleneck, and cloud providers treated AI workloads as an afterthought.
We built NeuralVane from the ground up — purpose-designed data centers, custom network topologies, and software that understands distributed training at its core. The result: infrastructure that gets out of your way so you can focus on what matters.
Today, NeuralVane powers some of the world's most ambitious AI projects across 12 regions, with over 50,000 GPUs serving hundreds of teams. But we're just getting started.
The principles that guide every decision at NeuralVane.
Every architectural decision optimizes for throughput and latency. We don't compromise on performance for convenience.
No hidden fees, no opaque pricing, no vendor lock-in. We publish our benchmarks and let the numbers speak.
From two-person startups to frontier labs, everyone deserves world-class infrastructure. We price accordingly.
We hire the best systems engineers and give them the freedom to build things right. No shortcuts, no tech debt.
Our customers are building the future. We treat their success as our own and their problems as urgent.
We're building for the long term. Renewable energy, efficient cooling, and responsible growth guide our expansion.
A team of systems engineers, ML researchers, and infrastructure veterans building the future of AI compute.
Co-Founder & CEO
Former VP Engineering at AWS. Built EC2's GPU instance fleet from 0 to $2B ARR. Stanford CS PhD.
Co-Founder & CTO
Former Principal Engineer at NVIDIA. Led the DGX Cloud architecture team. MIT EECS PhD, 40+ patents.
VP of Engineering
Former Staff Engineer at Google DeepMind. Built the distributed training platform for Gemini. 15 years in HPC.
VP of Product
Former Head of Product at CoreWeave. Previously PM at Microsoft Azure HPC. Carnegie Mellon MBA.
Head of Infrastructure
Former Director of Data Center Operations at Meta. Designed and deployed 5 hyperscale facilities globally.
Chief Scientist
Former Research Scientist at OpenAI. Published 50+ papers on distributed systems and ML optimization. UC Berkeley PhD.
Backed by the world's leading technology investors who share our vision for democratized AI infrastructure.
We're hiring across engineering, product, and go-to-market. Come build something extraordinary.