Dynova
Dynova
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Dynova AI Systems Inc. is a premier global manufacturer and a dominant force in high-performance AI GPU server production. Specializing in private cloud solutions, we bridge the gap between complex AI workloads and robust enterprise infrastructure. Established in 2017, our journey has been defined by a relentless pursuit of "Information Gain" in hardware efficiency, providing our clients with a competitive edge through customized computing architectures.
Operating out of a state-of-the-art 23,800 m² facility, we integrate the precision of Industry 4.0 with the flexibility required for rapid AI model deployment (LLMs, DeepSeek, Computer Vision). Our annual export revenue of USD 28 million is a testament to our reliability and the trust placed in us by global system integrators and Fortune 500 research labs.
With 9 years of industry mastery and 8 years of international export logistics, we navigate the complexities of global supply chains with 1,260+ strategic partners.
Our team of 142 R&D engineers released 186 new products last year, focusing on PCIe 5.0 integration, liquid cooling, and NVLink optimization.
58 dedicated inspectors oversee a multi-stage protocol: 100% functional testing, thermal stress verification, and long-term burn-in cycles.
The transition from public cloud to Sovereign Private Cloud is accelerating. Dynova AI Systems is at the forefront of this shift, developing hardware that supports the "AI-First" enterprise strategy.
Supporting Intel® Xeon® 6th Gen processors and next-generation Blackwell-ready architectures. We ensure memory bandwidth (6400MT/s) keeps pace with compute power.
Our roadmap includes Liquid-to-Chip (L2C) cooling solutions, reducing PUE (Power Usage Effectiveness) to below 1.15 for sustainable high-density computing.
Pioneering Compute Express Link (CXL) integration to enable dynamic memory sharing between nodes, critical for training ultra-large scale models.
By 2026, Dynova envisions a "Self-Healing Infrastructure" where AI-driven BIOS and firmware automatically optimize power delivery based on real-time workload telemetry, minimizing downtime and maximizing hardware ROI.
Low-latency networking and high-frequency storage for algorithmic trading and fraud detection systems requiring sub-millisecond response times.
Secure on-premise servers for genomic sequencing and AI-assisted diagnostics, ensuring HIPAA compliance and data privacy.
Edge computing nodes for real-time computer vision on factory floors, reducing defects through instant AI inference.
Our production ecosystem in China leverages the world's most robust electronics supply chain. This allows us to offer unmatched price-to-performance ratios and rapid lead times that local Western suppliers cannot match.
International buyers benefit from our comprehensive export licenses and compliance with CE, FCC, and RoHS standards. We provide DDP/DAP logistics solutions to over 80 countries, ensuring your hardware arrives tax-compliant and ready for deployment.
Our private cloud hardware is designed to ensure that data residency requirements are met, keeping sensitive enterprise information within physical local borders.
We provide tiered support services, from BIOS-level troubleshooting to hardware replacement programs for mission-critical data centers.
Partnering with global hubs in North America and Western Europe to provide rapid spare parts delivery, reducing MTTR (Mean Time To Repair).
Private cloud offers superior data privacy, lower long-term TCO (Total Cost of Ownership), and predictable performance without "noisy neighbor" latency issues common in shared public cloud environments.
We work closely with NVIDIA and AMD engineering guidelines, optimizing our firmware and thermal designs to handle the TDP requirements of high-end accelerators like the H100 and MI300 series.
We offer full-spectrum customization including branded chassis design, custom BIOS/Firmware splashes, specific PCIe lane configurations, and pre-configured software stacks (Kubernetes, Slurm, etc.).
Yes, our high-RAM GPU servers (up to 256GB/512GB VRAM configurations) are specifically engineered for the high memory bandwidth requirements of large language model inference and fine-tuning.
