From frontier model labs to enterprise AI teams, see how NeuralVane accelerates training, reduces costs, and simplifies infrastructure.
Foundation Model Lab · Series B
"Switching to NeuralVane was the single biggest unlock for our training velocity. We went from waiting weeks for GPU capacity to spinning up 512-node clusters in minutes. The InfiniBand fabric alone gave us a 3.2x throughput improvement."
— Dr. Kai Zhang, CTO at Meridian AI
Generative AI · Series C
"We generate 50 million images per day for our enterprise customers. NeuralVane's inference platform handles our traffic spikes without breaking a sweat. The auto-scaling is genuinely intelligent — it predicts demand before it hits."
— Priya Sharma, VP Engineering at SynthVision
Biotech · Public (NASDAQ)
"Our protein folding simulations require massive parallel compute with strict data residency requirements. NeuralVane's HIPAA-compliant infrastructure and dedicated clusters let us run sensitive workloads without compromise."
— Dr. Elena Vasquez, Head of Computational Biology
Autonomous Systems · Series A
"Training our autonomous driving models requires petabytes of sensor data and thousands of GPU hours. NeuralVane's storage layer feeds data to our training pipeline at 120 GB/s — we never hit I/O bottlenecks anymore."
— Marcus Chen, Founder & CEO at AutoVerse
Join 200+ teams who've made the switch to purpose-built GPU infrastructure.