BoltGrid
BoltGrid Computing Systems Co., Ltd. operates a massive 18,500㎡ facility dedicated to AI GPU servers. We specialize in GPU cluster systems and hyper-scale data center solutions, integrating 12 years of industry wisdom into every rack we manufacture.
With over 850 strategic partners, we ensure efficient sourcing of high-tier components (Intel, Dell, xFusion). Our annual export revenue of USD 18 million reflects a robust footprint across North America, Europe, and Asia.
Our team of 120 engineers launches 85+ new products annually. We offer deep customization in GPU configurations, memory scaling (DDR4/DDR5), and liquid cooling systems to meet specific colocation demands.
Facility (㎡)
QA Inspectors
Global Partners
R&D Engineers
The Evolution of Colocation: As global enterprises transition to AI-centric business models, the demand for "Wholesale Colocation Services" has shifted from simple rack leasing to high-density, power-intensive infrastructure. China's manufacturing ecosystem, led by firms like BoltGrid, offers a unique advantage by combining hardware production (Servers/GPUs) with large-scale facility management.
China Factory Supply Chain Advantages: Unlike traditional resellers, Chinese manufacturers provide "Vertical Integration." By manufacturing the servers, chassis, and cooling systems in-house, we reduce the "Information Gap" and supply chain latency. This allows for Tier III and Tier IV data center readiness at a cost-to-performance ratio that is unattainable in Western markets.
Localization and Compliance: For global enterprises entering the Chinese market, compliance with MLPS (Multi-Level Protection Scheme) and PIPL (Personal Information Protection Law) is non-negotiable. Our wholesale services include pre-configured compliant hardware and localized support that bridges the gap between international standards and Chinese regulatory requirements.
Sustainability Trends: Modern colocation is moving toward "Liquid Cooling" and "Green Energy" integration. BoltGrid is at the forefront, implementing PUE (Power Usage Effectiveness) optimization technologies that reduce carbon footprints for AI deep learning clusters.
Optimized for GPU clusters (NVIDIA/AMD) requiring high-density power (20kW+ per rack). Ideal for LLM training and DeepSeek deployments.
Scalable 1U/2U server modules for public or private cloud expansion, featuring high-speed DDR5 memory and NVMe storage.
Low-latency colocation nodes for IoT and autonomous systems, utilizing short-depth server chassis for compact environment deployment.
Wholesale colocation typically involves leasing large-scale space (private suites or entire data halls) rather than individual racks. In China, this includes tailored power density and direct integration with the local manufacturing supply chain for rapid hardware replacement.
We leverage 12 years of hands-on technical experience, a 45-person QA team for professional oversight, and an $18M annual export history to prove our reliability and authority in the global server infrastructure market.
Yes. With 120 engineers, we offer full-cycle customization—from chassis design and thermal management optimization to specific BIOS/firmware adjustments for AI workloads.
Thanks to our strategic partnership with 850+ component suppliers, we maintain a shorter lead time than industry averages, typically ranging from 4 to 8 weeks for custom wholesale configurations.