NexCore
Explore our production-ready, high-density AI and GPU-optimized servers configured for enterprise-scale workloads and neural network operations.
Unlocking petascale computational efficiency to power LLMs, deep learning training models, and enterprise inference clusters.
Modern AI applications demand hardware architecture supporting mixed GPU arrays. The shift towards massive models, such as the DeepSeek 671B framework, requires seamless integration of OAM (OCP Accelerator Modules) and PCIe form factors, driving server architectures to support high-density configurations with up to 8 or 10 double-width GPUs in a single 2U or 4U chassis.
As modern AI workloads pull in excess of 1000W per accelerator, traditional air-cooling limits are being exceeded. Leading enterprise deployments are transitioning toward hybrid direct-to-chip liquid cooling loops and custom-designed high-CFM (Cubic Feet per Minute) multi-fan cooling blocks, raising system efficiency and reducing localized PUE metrics below 1.15.
Inter-node bottlenecks can severely limit large cluster scaling. Implementing high-speed interconnect standards—specifically PCIe Gen 5.0, CXL (Compute Express Link), and dedicated SmartNIC / DPUs running InfiniBand or RoCEv2—ensures high bandwidth, low latency, and zero pocket-drop rates for massive model parallelization processes.
When evaluating GPU topology, look beyond simple raw TFLOPS. Pay close attention to peer-to-peer communication bandwidth. A dual-socket system utilizing NVLink or Infinity Fabric bridge configurations delivers up to 10x the bandwidth of standard PCIe system channels, minimizing micro-latency and eliminating memory-copy bottlenecks during parallelized AI inference workloads.
Procuring hardware at scale requires rigorous alignment with architectural, geographic, and security specifications. Corporate and institutional IT buyers need solutions that not only fit compute budgets but also fulfill regulatory compliance frameworks and high reliability metrics.
For international system integrators and enterprises, NexCore provides customizable BIOS/BMC options, tailored chassis rail kits, OEM/ODM custom branding, and components that comply with global CE, FCC, RoHS, and CCC certification requirements. Our systems are engineered to integrate seamlessly into active rack-mounted environments without complex localized configurations.
Configured and burned-in for target ML engines prior to shipment.
Headquartered in the global electronics capital of Shenzhen, China, NexCore Intelligent Technology Co., Ltd. (established in 2017) has established a highly optimized system integration facility designed for high-density compute infrastructure. Leveraging a specialized 386-square-meter modern precision laboratory, NexCore acts as a pivot point in the Shenzhen supply chain ecosystem, offering rapid prototyping and production flexibility.
Supported by 9+ years of industry experience and 6+ years of international export operations, NexCore delivers comprehensive OEM/ODM solutions to global markets. By utilizing a network of over 1,250 qualified supply chain partners, NexCore guarantees stable allocation of critical microelectronics, PCBs, thermal sinks, and power units, ensuring short lead times even during global component shortages.
Innovation is the foundation of our engineering capabilities. Backed by 128 experienced specialists in server motherboard architecture, GPU firmware tuning, structural design, and thermal performance, NexCore develops solutions customized for next-generation deep learning platforms. Every server undergoes multi-tier testing, including incoming components inspection, full structural system testing, 24-72 hour high-temperature burn-in, and final quality checks.
Bridging the gap between raw computing performance and targeted, industry-specific workloads across worldwide markets.
With regional emphasis on compliance and regulatory controls, operators utilize customized, GPU-dense server racks for in-house Large Language Model fine-tuning, autonomous navigation processing, and private sovereign AI clouds that safeguard sensitive organizational data.
Rapidly scaling digital hubs utilize GPU server architecture to power smart city traffic patterns, municipal computer vision pipelines, localized Arabic/multi-lingual language models, and high-frequency fintech algorithmic trade analysis centers.
High-performance computing (HPC) setups process high-density sequencing arrays, structural protein folding models (AlphaFold workloads), drug discovery simulations, and medical imaging inference, requiring rapid data input/output architectures.
Addressing architectural and operational queries from engineering and sourcing professionals.
NexCore provides customizable cooling setups tailored to your environment. For standard high-density server configurations, we utilize redundant high-airflow, PWM-regulated counter-rotating fan walls paired with custom copper-plate heat sinks. For liquid-cooled setups, we design cold-plate arrays that interface directly with the GPU/CPU dies, supporting closed-loop systems or external CDU (Cooling Distribution Unit) manifold connections.
Our high-performance servers (such as the Dell PowerEdge R760/R750 families and xFusion G5500 architectures) are configurable with high-capacity DDR5 ECC memory and multi-node GPU interfaces (such as PCIe Gen 5.0 and NVLink). This enables the creation of high-speed memory pools required to load the vast parameter structures of DeepSeek models, keeping latency low and output speeds high.
We offer extensive customization, including custom chassis design, customized front bezels, silk-screened client logos, custom BIOS splash screens, specialized BMC firmware setups, and personalized packaging. Additionally, our R&D team works directly with hardware engineers to design custom PCB configurations, PCI routing options, and specialized backplanes.
We partner with tier-1 semiconductor and core component suppliers, utilizing a database of over 1,250 partners. Our 46-person quality control department performs incoming materials inspection, real-time automated optical inspection (AOI), structural functional testing, high-load thermal stress testing, and final quality audits to ensure stable system operation under continuous workloads.
For standard configurations, shipping can occur in 7-14 business days. For customized OEM/ODM projects, lead times range from 4 to 8 weeks depending on configuration complexity and sourcing times. We provide comprehensive shipping documentation, shipping insurance, and remote engineering setup support to ensure a smooth transition into production.
Explore our range of rackmount servers, compute chassis, and specialized high-density AI nodes.