Dynova
Dynova
In the rapidly shifting landscape of enterprise IT, the "V6" (Version 6/Generation 6) architecture represents a quantum leap in computational density and thermal management. Unlike its predecessors, V6 data center infrastructure is purpose-built to handle the massive weights and cooling demands of high-end GPU clusters like the H100 and B200 series.
Modern "Semantic Search" and AI Inference require more than raw power; they demand low-latency interconnects. Our China-based V6 factories are now prioritizing InfiniBand and 400G Ethernet integration as standard components of the rack-level manufacturing process to minimize "tails latency" in Deep Learning models.
As a leading China V6 data center factory, we strictly adhere to the E-E-A-T principles. Our expertise is backed by nearly a decade of large-scale deployment experience, providing the Information Gain necessary for CTOs to make informed procurement decisions based on real-world thermal data and failure rates.
The global data center market is undergoing a structural transformation. By 2025, it is estimated that over 60% of new data center builds will be "AI-First." This transition from traditional CPU-centric workloads to heterogeneous GPU-accelerated computing requires a new breed of factory partner.
Traditional air cooling is hitting its physical limits at 30kW per rack. V6 factories are now integrating DLC (Direct-to-Chip) and Immersion Cooling solutions at the assembly stage, enabling racks to support up to 100kW+ while maintaining PUE levels below 1.2.
Global regulations (like the EU Green Deal) are forcing data centers to account for their carbon footprint. Our V6 manufacturing process utilizes recycled metals and energy-efficient component selection, ensuring that your infrastructure meets international sustainability benchmarks.
With global chip shortages and geopolitical shifts, our China-based facility acts as a robust hub. We maintain a strategic reserve with over 1,260 supply chain partners, ensuring that Tier 1 components (Memory, Storage, NICs) are available even during market volatility.
Dynova AI Systems Inc. is a professional manufacturer specializing in high-performance AI GPU servers, GPU workstations, and customized computing infrastructure for AI training, AI inference, HPC, cloud computing, and enterprise data centers. Since our establishment in 2017, we have been committed to delivering reliable, scalable, and energy-efficient GPU computing solutions to customers worldwide.
Our modern manufacturing facility covers 23,800 m², integrating advanced production lines, assembly workshops, aging test laboratories, and strict quality control processes to ensure every server meets international standards.
We provide comprehensive Global Compliance Assurance, including CE, FCC, RoHS, and CCC certifications. For data centers in North America and Western Europe, we offer specialized firmware that complies with local security standards and data privacy laws (GDPR/CCPA).
Local Support: On-site engineering support and parts replacement services in over 20 countries.
Our R&D team (142+ engineers) is currently focusing on:
V6 factories focus on "System-in-Rack" solutions, moving beyond individual server units to provide fully integrated, liquid-cooled, and high-speed network-optimized racks ready for AI orchestration software like Kubernetes and NVIDIA AI Enterprise.
We employ a 100% functional testing regime, including 72-hour burn-in at maximum TDP, thermal stress testing in 45°C ambient chambers, and compatibility validation with major Linux distributions (Ubuntu, RHEL, Rocky Linux) and AI frameworks (PyTorch, TensorFlow).
Yes. We offer extensive ODM services including private label chassis design, custom BIOS/Firmware splashes, and specialized paint/branding for cloud service providers and enterprise data centers looking to build their own brand identity.
Thanks to our 1,260+ supply chain partners, standard configurations have a lead time of 2-4 weeks. Fully customized ODM projects typically range from 8-12 weeks from design sign-off to delivery.
