Dynova
Dynova
In the rapidly evolving landscape of global technology, the demand for Custom OEM Dell Equipment has transcended traditional hardware procurement. As a premier manufacturer, Dynova AI Systems Inc. specializes in the architectural design and high-efficiency production of bespoke server solutions that leverage the robust DNA of Dell’s infrastructure. Our focus is on "Semantic Search" optimized infrastructure—hardware that doesn't just store data, but processes it with the intelligence required for modern LLM (Large Language Models) and deep learning workloads.
Since our establishment in 2017, we have bridged the gap between off-the-shelf hardware and the specific, high-density needs of global enterprises. With a 23,800 m² facility, we provide the scale and precision required to power the world's most demanding data centers.
Enterprises are shifting from generic hardware to application-specific integrated systems. Dell’s architecture provides the reliability, while our OEM services provide the Information Gain needed for specific industrial optimizations.
Leveraging the world’s most sophisticated electronics supply chain in Shenzhen and beyond, we ensure lead times that are 40% faster than regional competitors, without compromising on E-E-A-T standards.
With 186 new products launched last year, our R&D focus has been on liquid cooling and advanced airflow for high-density GPU racks (R760/R660 series), critical for AI inference performance.
Quality is not an act, it's a habit. Our 58-person QA team ensures that every piece of Dell-based OEM equipment undergoes a rigorous multi-stage validation process.
Dynova AI Systems Inc. (Est. 2017) is a manufacturer, OEM & ODM service provider specializing in GPU server platforms. We maintain close cooperation with 1,260+ supply chain partners, ensuring that even during global component shortages, our production lines remain active.
Deploying R660/R760 nodes at the edge for real-time video analytics in smart cities.
HPC clusters using customized DL360 Gen12 with liquid cooling for rapid DNA sequencing.
Hyperscale training pods utilizing xFusion and Dell GPU-optimized chassis for LLM training.
The trend is moving towards Sustainability and Energy-as-a-Metric. Our servers focus on high PSU efficiency (80 Plus Titanium).
OEM versions allow for custom hardware configurations, unique branding, specific BIOS/Firmware settings, and long-term lifecycle support that standard retail models cannot offer. It is the preferred choice for System Integrators and Cloud Service Providers.
We implement a 100% functional testing protocol, including burn-in, thermal verification, and compatibility validation by our 58 dedicated QA inspectors.
Thanks to our network of 1,260+ supply chain partners, we can often fulfill large-scale orders within 2-4 weeks, significantly faster than the industry average.
Yes, our 142 R&D engineers specialize in independent hardware design and thermal engineering to create unique infrastructure for AI training and inference.
