Dynova
Dynova
As Singapore aggressively pursues its National AI Strategy 2.0, the demand for high-performance AI GPU Servers has reached unprecedented levels. From the financial district in Raffles Place to the research labs at Biopolis, GPU-accelerated computing is the backbone of the nation's digital sovereignty. Dynova AI Systems Inc. provides the critical infrastructure required to power large language models (LLMs), real-time data analytics, and autonomous systems locally.
Our role as a leading factory and exporter is to bridge the gap between cutting-edge hardware manufacturing and the specific operational requirements of Singapore-based Tier-3 and Tier-4 data centers. We understand the unique challenges of the Singapore market, including strict power density regulations, space optimization requirements, and the necessity for "Green DC" compliance.
With the rise of localized AI models like DeepSeek and regional specific LLMs (SEA-LION), our GPU servers are engineered to handle massive parameter counts. Our rack-optimized designs for the Singapore market focus on high-speed interconnects (NVLink) to minimize communication bottlenecks between GPU nodes.
Singapore's "Smart Nation" initiative utilizes AI for traffic management, public safety, and energy optimization. We provide edge-ready GPU servers that offer high compute density in compact 1U/2U form factors, perfect for decentralized deployment at edge nodes across the island.
Security and reliability are non-negotiable for Singapore's banking sector. Our servers feature TPM 2.0 modules, secure boot technology, and redundancy at every level (Power, Cooling, Storage) to ensure 24/7 uptime for mission-critical financial AI applications.
Exporting to Singapore requires more than just shipping hardware. Dynova AI Systems ensures that every unit entering the Port of Singapore meets stringent local standards. We provide customized power supply units (PSUs) compatible with Singapore’s electrical grid and industrial power requirements.
As TDP for next-gen GPUs exceeds 700W, we are transitioning our Singapore shipments to Direct-to-Chip (D2C) liquid cooling solutions to reduce PUE in tropical climates.
Future-proofing Singapore's infrastructure with the next generation of bus architectures, ensuring 2x bandwidth increase for data-intensive AI workloads.
Implementing modular designs that allow for easy upgrades of individual GPU modules, reducing e-waste in line with Singapore's Green Plan 2030.
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.
Supported by 8 years of export experience, we continuously invest in research and development to provide innovative GPU server platforms compatible with leading NVIDIA and AMD accelerator technologies. Our products undergo 100% functional testing, burn-in testing, and reliability verification before being exported to the Singapore market.
Yes, Dynova AI Systems works with certified local system integrators in Singapore to provide Tier-2 technical support and hardware maintenance services. We also maintain a stock of critical spare parts for rapid deployment.
Our servers are designed for climate-controlled data center environments. However, for specialized industrial deployments, we offer ruggedized chassis and advanced thermal management systems that exceed standard operating temperature ranges.
Absolutely. We offer full ODM/OEM services where you can specify GPU types (NVIDIA H100, L40S, or custom accelerators), memory capacity (DDR5/HBM), and storage configurations (NVMe) to match your specific model architecture.
For standard configurations, shipping takes 5-7 business days via air freight. For custom ODM orders, the total lead time from production to delivery at your Jurong or Changi facility is typically 3-5 weeks.
