Borevo
Borevo
Enterprise-grade computing configurations, high-density AI accelerators, and high-performance server architectures optimized for data centers.
A specialized global AI GPU manufacturer and design house bridging advanced heterogeneous compute integration with high-velocity export supply chains.
Borevo AI Infrastructure (China) Co., Ltd. is a specialized AI GPU manufacturer dedicated to delivering high-performance computing hardware and advanced AI infrastructure solutions for global markets. Founded in 2018, our company focuses on GPU design integration, AI acceleration systems, and customized computing solutions for data-intensive applications. Over the past 7 years of direct export experience, we have optimized our distribution channels, serving hyperscalers, GPU clouds, and global tier-1 system integrators in North America, Europe, and Southeast Asia.
Our operation runs on a robust foundation of structural quality assurance and process control, led by 45 dedicated QC personnel. From incoming material validation to high-stress burn-in testing and thermal chambers, we ensure our compute solutions maintain exceptional MTBF (Mean Time Between Failures) standards when deployed in rigorous cloud datacenters.
Leveraging the world’s most responsive hardware cluster to deliver cost-optimized, custom-engineered server products.
Direct adjacency to the Shenzhen-Dongguan electronics cluster grants immediate sourcing of multi-layer PCBs, copper block coolers, fan modules, and high-speed data transmission interfaces, reducing hardware iteration cycles by up to 60% compared to Western manufacturers.
Supported by approximately 850 strategic partners across the semiconductor, PCB fabrication, and high-conductivity thermal solutions sectors, Borevo swiftly adapts production from single prototype evaluations to high-rate production runs.
With an engineering division numbering 180 R&D experts, we specialize in high-speed channel signal integrity, firmware adjustment, and liquid-cooling thermal dynamics. This engine produced 120 new products last year, maintaining alignment with AI architectures.
The manufacturing capabilities in China extend far beyond basic mechanical assembly. Borevo integrates sophisticated firmware validation, custom BIOS programming, BMC customization (Baseboard Management Controller), and low-level component tuning. The consolidation of hardware design and assembly in our 18,600 ㎡ production facility enables us to compress lead times for customized configurations, ensuring rapid shipment of compute nodes designed to house next-generation GPUs.
Resolving capacity issues, compute-density constraints, and Total Cost of Ownership (TCO) variables in high-demand environments.
As deep learning and LLM (Large Language Model) deployment cycles shorten, cloud providers, enterprise data centers, and research institutes face significant procurement and scaling challenges. Navigating these obstacles demands a balance of high compute density, hardware reliability, and strategic supply chain visibility:
Ensuring hardware imports meet regional standards while establishing on-site technical support loops.
Every server platform undergoes rigorous regulatory validation to achieve CE, FCC, RoHS, and UL certifications. We ensure all power systems and electromagnetic emissions comply with international import standards.
To reduce system downtime, we set up local spares hubs in regional centers (North America, Europe, Southeast Asia) for critical parts like power supplies, fan units, storage controllers, and PCIe risers.
Borevo provides Field Application Engineers (FAE) for remote deployment support, BIOS optimization, BMC integration, and custom kernel configurations to align hardware with local infrastructure.
Borevo's compliance workflow covers environmental certifications like WEEE, energy efficiency metrics, and secure supply chain logistics to safeguard hardware against firmware interference. By establishing robust traceability in component sourcing, we offer global partners transparent documentation to meet local compliance audits.
Key architectural trends shaping the future of enterprise compute infrastructure.
As rack power densities exceed 40kW, traditional air cooling reaches its limits. Direct-to-chip liquid cooling plates and localized CDUs (Cooling Distribution Units) are essential to prevent thermal throttling.
High-density GPU clustering demands massive data throughput. Minimizing channel loss on motherboards requires ultra-low loss PCB materials and high-speed riser cards.
Integrating diverse hardware accelerators—such as GPUs, custom ASICs, and high-performance CPUs—demands highly adaptable firmware and modular baseboards.
To avoid bottlenecks during model training, memory bandwidth is critical. Utilizing DDR5 ECC RDIMMs ensures maximum data throughput for larger datasets.
Insight into our 18,600 ㎡ high-precision electronics manufacturing facility and diagnostic processes.
Borevo maintains strict quality control standards throughout the production lifecycle. Every server platform undergoes a multi-stage testing process before shipment, including AOI (Automated Optical Inspection), thermal chambers, structural stress testing, and functional benchmark validations.
Where our OEM/ODM custom servers run computational tasks globally.
Supporting cloud service providers (CSPs) with multi-node server arrays featuring customized PCIe topologies, custom-designed management interfaces, and BIOS adaptations for maximum virtualization density.
Optimized for running next-generation models like DeepSeek and Llama-3. High bandwidth interfaces and high-capacity memory pools prevent processor bottlenecks during large-scale inferencing.
Delivering heavy-duty compute chassis certified for continuous operation under challenging temperature and vibration profiles, ideal for edge processing in autonomous driving systems and smart factories.
Answers to common inquiries regarding customization, system integrations, and international trade compliance.
High-speed networking cards, server memory modules, and specialized rack servers for global deployment.
