Borevo
Borevo
Explore our high-performance rackmount edge systems, RAID controllers, and AI server infrastructure optimized for remote node deployment and decentralized cloud architectures.
Analyzing the migration from centralized cloud datacenters to robust, low-latency edge topologies.
As telemetry data from IoT devices, autonomous vehicles, and industrial sensors grows exponentially, traditional centralized cloud computing architectures face critical bottlenecks. Latency-critical applications cannot tolerate the 100+ millisecond round-trip delay associated with sending data to remote hyper-scale data centers. Moreover, bandwidth exhaustion makes streaming raw, high-definition sensor data financially and logistically prohibitive.
To bridge this gap, Edge AI Servers and GPU-accelerated node gateways process, analyze, and infer data directly at the generation point. By shifting computation from remote servers to the localized edge, enterprises unlock real-time decision-making capabilities within milliseconds. This architecture optimizes bandwidth usage, improves system reliability during network disconnects, and protects sensitive data by keeping it local.
Modern edge platforms must run complex models (like DeepSeek, Llama-based LLMs, and high-frequency computer vision) within strict space, power, and thermal limits. Standard CPU-centric designs cannot handle these demands efficiently. Heterogeneous computing—integrating multi-core CPUs with specialized AI hardware accelerators, tensor processing units, and high-performance PCIe RAID arrays—delivers the processing power needed for complex AI tasks.
By combining high-speed PCIe Gen 5 routing, high-density DDR5/LPDDR5 memory channels, and robust local SAS/SATA caching controllers, modern edge devices process complex AI inference pipelines directly where data is collected. This approach optimizes performance-per-watt metrics, enabling high-performance computing in demanding physical environments.
A premier hardware pioneer engineering custom GPU integration, computing accelerators, and turnkey industrial edge servers.
Operating out of our state-of-the-art 18,600 ㎡ production facility, we utilize automated SMT lines, advanced high-frequency testing benches, and localized cleanrooms. Our facility is designed to scale rapidly, supporting custom small-batch OEM designs as well as mass-production runs of rackmount AI servers.
Our 180-member R&D team focuses on solving complex engineering challenges. We optimize hardware to run advanced AI models at the edge, offering custom solutions for thermal performance, high-speed PCB layouts, carrier board modifications, and tailored BIOS/UEFI firmware.
With 45 dedicated QC specialists, we execute a rigorous, multi-tier inspection protocol. Every server node and array controller undergoes automated optical inspection (AOI), full thermal stress testing, high-vibration screening, and pre-shipment burn-in testing to guarantee reliable field operation.
Why China's advanced manufacturing hubs lead the world in high-performance edge hardware production.
Our production facilities are situated at the heart of the world’s most dense semiconductor and electronics supply chain. We maintain immediate, direct access to over 850 strategic hardware partners supplying raw multi-layer PCBs, high-speed passive components, structural sheet-metal chassis, and critical micro-controllers. This local access minimizes lead times and insulates clients from geopolitical shipping bottlenecks.
Design iterations that take weeks in other regions are finalized in days. With on-site mechanical drafting, rapid high-precision SMT placement, and localized CNC tooling, we can transition from a client’s custom schematics to a physical, bootable edge server prototype within 10 to 14 working days, accelerating your time-to-market.
China's manufacturing hubs host the world's leading experts in high-frequency signal design and thermal dissipation. We design custom heat pipe layouts, high-performance vapor chambers, and fan configurations that prevent thermal throttling in compact, fanless, or low-airflow environments.
By leveraging optimized raw material sourcing, automated high-throughput production lines, and highly skilled assembly technicians, we deliver superior performance-per-dollar values. This efficiency allows global system integrators to maximize their margins while deploying premium components.
How we address the complex regulatory, logistics, and hardware validation requirements of global enterprise buyers.
Our edge devices and rack mount platforms are designed and tested to comply with international standards, including CE, FCC Part 15, RoHS, and UL safety directives. This compliance ensures smooth customs clearance and ready integration into municipal, healthcare, and enterprise facilities.
We provide full firmware customization, including custom UEFI/BIOS configurations, secure boot key integration, pre-configured IPMI/Redfish management addresses, and tailored operating system images (such as Ubuntu Server, Rocky Linux, or custom hypervisors).
We implement strict component traceability from the silicon wafer to the final system. We source components through authorized franchised distributors and utilize secure, trusted platforms to protect clients from counterfeit parts and firmware-level vulnerabilities.
Empowering diverse sectors with high-availability edge nodes designed for specialized industrial and commercial applications.
Modern factories deploy our edge systems to analyze high-speed vibration data, acoustic profiles, and thermal imaging from assembly lines. Localized processing detects anomalies, predicts tool wear, and triggers emergency shutdowns within milliseconds, preventing costly unplanned downtime.
Municipalities deploy our rugged servers at intersections and toll gates to run real-time traffic flow models. By processing multiple high-definition camera feeds locally, these nodes optimize signal timing and detect accidents without sending constant video streams back to central databases.
Physical retail environments rely on edge compute to run localized multi-sensor fusion algorithms. Our edge servers process video analytics, shelf weight sensor data, and point-of-sale systems locally, providing customer insights and supporting checkout-free shopping with low operational latency.
Telecom operators use our compact 1U and 2U short-depth rackmount servers inside base stations. These systems process data at the network's edge, supporting virtualized network functions (VNFs) and running latency-sensitive local cloud services directly for mobile subscribers.
A visual look inside our state-of-the-art facilities, modern cleanrooms, precision assembly areas, and thermal testing labs.
Technical insights, engineering details, and purchasing logistics for our edge systems.
Edge computing devices are engineered to operate reliably outside controlled, hyper-scale datacenters. They feature rugged, compact, or short-depth chassis, advanced dust filtration, wide operating temperature tolerances (from -10°C to +55°C), and resistance to physical shock and vibration. They are optimized for local deployment near the data source to support low-latency computing needs.
Every server model undergoes rigorous environmental testing before volume production. This includes thermal testing inside climate chambers, humidity cycling, and vibration sweeps. During production, each unit undergoes a 24- to 72-hour burn-in phase under maximum CPU and GPU workloads to prevent early component failure.
Yes. Our R&D engineering team offers full ODM and OEM services. We can modify chassis designs, adapt carrier boards, integrate specialized network interfaces, pre-configure BIOS/UEFI settings, and apply custom branding to meet your project specifications.
For custom hardware modifications, we typically deliver functional prototypes within 10 to 14 working days. Once the prototype is validated, standard mass-production orders are completed in 3 to 5 weeks, depending on component availability and customization requirements.
Our systems feature PCIe Gen 4 and Gen 5 expansion slots, supporting a wide range of hardware accelerators. They are compatible with standard server-grade GPUs, specialized inference cards, and network interface cards up to 100GbE, enabling versatile edge configurations.
Explore our deep learning accelerators, memory components, and enterprise servers built for edge workloads.
