Neuralinko
Highly optimized server units, components, and accelerators deployed globally for deep learning, virtualization, and enterprise-grade network infrastructure.
How Neuralinko Bridges OEM Precision and Enterprise Adaptability
Established in 2018, Neuralinko Intelligent Technology Co., Ltd. is a professional AI server manufacturer specializing in high-performance GPU servers, AI computing infrastructure, and customized data center solutions for global enterprises. Operating from a modern 386㎡ production and engineering facility, we deliver reliable AI hardware solutions tailored for machine learning, deep learning, large language models (LLMs like Deepseek), cloud computing, and high-performance computing (HPC) applications.
Our core competence lies in providing scalable, energy-efficient, and enterprise-grade hardware configurations that seamlessly align with top-tier server standards, including Dell PowerEdge, xFusion, and Inspur Server systems. With 8 years of industry experience and 6 years of export expertise, we serve critical IT clients across North America, Europe, Southeast Asia, the Middle East, and Australia.
At Neuralinko, quality is the cornerstone of our manufacturing operations. Every single chassis, storage array, and GPU workstation is subjected to rigorous hardware evaluation protocols:
Harnessing local engineering agility and over 1,200 supply chain partnerships to deliver optimized configurations.
We maintain deep partnerships with over 1,200 components and technology providers. This guarantees consistent access to the latest server motherboards, PCIe 4.0/5.0 RAID controller cards, and DDR4/DDR5 ECC RAM modules, assuring prompt system deployment and competitive raw material pricing.
Our OEM/ODM capability extends beyond board components. We design and custom-brand rackmount metal chassis (1U, 2U, 4U, GPU chassis), optimize motherboard firmware (BIOS/BMC), and customize specific layout configurations to fit unique cooling systems and custom data center power grids.
Backed by an engineering team of 118 professional R&D engineers, we successfully launched 126 new customized system configurations in the past year alone. From edge-computing enclosures to multi-GPU rack servers, we turn custom concepts into export-ready models.
Analyzing current global trends, China's export advantages, and the technical requirements for enterprise procurement.
In the contemporary tech landscape, computing requirements have shifted from traditional linear instruction pipelines to massive, multi-dimensional neural networks. The emergence of LLMs (such as Deepseek, GPT architectures, and Llama) has accelerated the need for high-density, multi-GPU configurations. Enterprises are discovering that typical generic cloud instances no longer provide the performance-to-cost ratio required for continuous model training and massive inference requests.
This paradigm shift places high-performance GPU hardware—like the PCIe-configured V100 32GB units and modern multi-socket server nodes—at the heart of corporate growth. To manage these computational tasks, data centers must specify hardware architectures capable of massive parallel input/output. This is where specialized OEM/ODM server systems, matching the performance standards of industry leaders such as Dell PowerEdge and Inspur, become critical.
China's manufacturing clusters, particularly centered in tech-industrial zones like Shenzhen, offer unmatched advantages for global server procurement:
When procuring computational hardware internationally, enterprise IT decision-makers prioritize three core variables: Reliability, Scalability, and Compatibility.
Reliability is governed by high-quality power distribution units (redundant 80 Plus Platinum PSUs) and advanced RAID controllers (such as the LSI-based 9560-16i-PCIe cards). These cards prevent data corruption during power interruptions. Scalability dictates that 2U rack systems support easy RAM upgrades (with multiple ECC RDIMM slots) and feature expansion paths via PCIe Gen 4/Gen 5 lanes. Compatibility guarantees that systems interface seamlessly with open-source virtualization platforms (such as VMware ESXi, Proxmox, and Kubernetes clusters) and modern operating systems.
High-performance computing configurations optimized for key business applications.
Optimized for workloads utilizing advanced neural networks, including deep learning inference, model fine-tuning, and vector database operations.
Engineered for data management, cloud computing nodes, virtualization environments, and critical database infrastructures.
Designed for deployment in regional edge stations, local content delivery networks (CDNs), and remote enterprise facilities.
Technical clarifications, procurement information, and customization inquiries answered by Neuralinko's engineering department.
Inside our facility where we build, test, and ship modern server systems.
High-end accessories, GPU units, RAID controller cards, and server cases to support global custom infrastructure projects.