NovaAI Compute
NovaAI Compute
As a leading Custom OEM Database Manufacturer & Supplier, we recognize that modern data management has transcended traditional storage. In 2025, the synergy between hardware and semantic search capabilities is the cornerstone of enterprise growth. Database servers are no longer just repositories; they are the high-speed engines driving Deepseek AI models, large language model (LLM) training, and real-time analytical processing.
Global enterprises are shifting from "standardized" hardware to Custom OEM Solutions. This shift is driven by the need for Information Gain—the ability to extract more value from data through optimized I/O paths, advanced RAID configurations, and GPU-accelerated processing. Our role is to bridge the gap between complex software requirements and high-integrity hardware builds.
Based in Shenzhen, the silicon heart of the world, we leverage an ecosystem of 300+ partners to ensure zero-bottleneck component sourcing for Xeon processors and SAS/SSD storage.
Our team develops over 100 new configurations annually. While Western cycles take months, our OEM agile process allows prototype-to-production in weeks.
We provide a 30-40% improvement in Price-to-Performance ratio compared to standard off-the-shelf retail units, critical for massive scale data centers.
Every server undergoes a 72-hour stress test and a 100% full inspection protocol, ensuring that "Made in China" signifies "World-Class Reliability".
NovaAI Technology Co., Ltd. (Brand: NovaAICompute) is a professional provider of AI computing infrastructure and high-performance server solutions, established in 2018.
Since its establishment, the company has accumulated 8 years of industry experience and 8 years of export experience, serving clients across Eastern Europe, the Middle East, and North America. Our facility covers 150 square meters, supported by a stable supply chain of 300+ partners. Our annual export revenue reached USD 1.54 million last year.
Specialized GPU servers (like the FusionServer 5288 series) are being deployed for Deepseek integration, enabling real-time semantic processing for search engines.
Utilizing high-density storage servers for municipal video surveillance and industrial sensor data management in Smart Home hubs.
Deploying 1U and 2U rack servers for high-frequency trading where latency is measured in microseconds and RAID cards ensure zero data loss.
Optimized Xeon Gold processors and Dell PowerEdge workstations for multi-container environments and Windows Dedicated Data Centers.
Modern procurement now prioritizes Energy Efficiency Ratios (EER). Our custom builds focus on platinum-rated power supplies and advanced thermal management to reduce the carbon footprint of massive data clusters.
We don't just sell parts; we architect solutions. Whether it's a 4-socket 2U server like the 2488H V6 or a dedicated NAS storage system, our graduate-level engineers map hardware specs to your software workload (PostgreSQL, MongoDB, Oracle, etc.).
By incorporating the latest PCIe 4.0/5.0 RAID cards and NVMe storage, our systems are built to handle the exponential data growth expected through 2030. We ensure that today's investment supports tomorrow's AI upgrades.
Our competitive edge lies in the combination of 8 years of specialized server experience and a deep understanding of the AI hardware-software interface. We offer "Information Gain" through hardware optimization that generic suppliers cannot match.
All components are sourced through traceable supply chains and undergo a rigorous multi-stage inspection by our dedicated QC team. We perform burn-in tests to simulate extreme data center environments before shipping.
Yes. With export experience across three major global regions and a partner network of over 300 suppliers, we manage everything from technical configuration to international logistics for wholesalers and brand companies.
Absolutely. Our R&D team specializes in tailoring GPU/CPU ratios and memory bandwidth to specifically support LLM training and inference workloads, ensuring maximum efficiency for models like Deepseek.
