BoltGrid
BoltGrid
Highly scalable server platforms built to host massive deep learning models, training pipelines, and high-density virtualization environments.
Established in 2016, BoltGrid Computing Systems Co., Ltd. stands as a professional, forward-thinking AI GPU server manufacturer. We specialize in high-performance computing (HPC) infrastructure, advanced GPU cluster systems, and enterprise-grade data center design solutions. Over our 12-year trajectory in computing infrastructure, our mission has been clear: bridge the gap between heavy AI model requirements and physical hardware limitations.
Operating a state-of-the-art 18,500㎡ modern production facility, BoltGrid features comprehensive integration pipelines, stress-test cells, and climate-controlled burn-in zones. Our annual export revenue has consistently surpassed USD 18 million over the last 7 years, building reliable routes for compute distribution into North America, Europe, Southeast Asia, and the Middle East.
By scaling our strategic ecosystem to include more than 850 partners, we guarantee access to critical components—from next-generation GPUs and power supplies to specialized server chassis and liquid-cooling cooling plates. This stability enables us to act as the primary structural hardware partner for hyperscalers, Cloud Service Providers (CSPs), and major public institutions worldwide.
Backed by 45 certified inspectors, BoltGrid enforces full environmental thermal chamber cycling, multi-hour stress simulations, and component-level diagnostic sweeps. Every GPU server delivered is fully optimized for maximum workload stability, keeping server downtime to absolute zero.
The global demand for high-density artificial intelligence compute infrastructure is shifting from experimental lab setups to massive, hyper-scale industrial clusters. Key drivers such as Large Language Models (LLMs) training (e.g., DeepSeek, GPT-4 architectures), conversational AI, autonomous driving simulations, and structural bioinformatics require servers that manage massive data throughput while operating within tight thermal boundaries.
Today, corporate data centers face massive scalability bottlenecks. High PUE (Power Usage Effectiveness), storage latency, and GPU-to-GPU interconnect limitations threaten cluster utilization efficiency. The market is shifting from classic homogeneous CPU computing to heterogeneous systems, where GPUs, TPUs, and custom accelerators run parallel pipelines. BoltGrid bridges this gap by engineering highly adaptable server systems, offering configurations built with optimized PCIe topologies, advanced cooling options, and enterprise management firmware.
Designed to handle high parameter structures, minimizing communication latency across interconnected nodes to ensure fast epoch times.
Supporting custom BIOS configurations, custom-designed chassis, memory scaling up to several terabytes, and multi-tier cooling designs.
Designed for rapid cluster deployment, featuring optimized PCIe switching topologies and high-bandwidth networking support.
Detailed breakdown of our core server solutions optimized for enterprise high-performance computing, deep learning, and dense virtualization workloads.
| Platform Designation | Form Factor | Supported Processor Families | Max GPU Capacity | Cooling Interface | Target Application |
|---|---|---|---|---|---|
| xFusion 2288H V7 Series | 2U Dual-Socket | Intel Xeon Scalable 4th/5th Gen | Up to 4x Double-Width or 8x Single-Width GPUs | Redundant Fans / Liquid Assist Option | Hyperscale Virtualization & Mid-tier Inference |
| FusionServer 5288 V6 | 4U Rackmount | Intel Xeon Scalable 3rd Gen | Up to 8x High-Performance PCIe GPUs | High-airflow System Fans | DeepSeek Model Tuning, Big Data Processing |
| G5200 V5/V6 Computing Node | 4U High Density | Intel Xeon Scalable Family | Up to 8x Acceleration Cards (NVLink/PCIe) | Liquid Cooling Block Compatible | Large-scale Deep Learning Training |
| xFusion 1288H V7 Series | 1U Rackmount | Intel Xeon Scalable 4th Gen | Up to 2x Single-Width GPUs | High-RPM Smart Fans | Edge AI Inference & High-density Cloud Computing |
How we engineer next-generation computing hardware for tomorrow's complex AI workloads.
Implementation of system-level dynamic power management (DPM) that adjusts GPU/CPU voltage based on real-time operational loads, reducing idling power by up to 18%.
Transitioning to hybrid cooling loops featuring micro-channel cold plates positioned directly on the processing silicon, combined with secondary chassis-level high-airflow fans.
Integrating high-speed CXL bus configurations to build shared memory spaces between host CPUs and GPU pools, reducing memory bottlenecks in deep learning operations.
Modern accelerator hardware runs hot, with high TDP requirements per module. This concentration of heat demands careful thermal management. BoltGrid's engineering teams model airflows, heatsink configurations, and thermal interfaces to prevent thermal throttling under continuous load.
Our solutions feature intelligent fan control zones, optimized chassis internal spaces, and structural support for modern high-performance interconnects. This ensures GPUs maintain peak boost clocks during intensive training runs, offering maximum computing value for every watt consumed.
Deploying specialized AI hardware structures across highly regulated and mission-critical industries.
Ingesting petabytes of multi-sensor and video data. BoltGrid systems use PCIe Gen 5 configurations to feed real-time simulated driving scenarios to local networks, accelerating model training.
Processing genetic sequencing and molecular structural folds. High-throughput memory structures enable researchers to run complex simulation models locally, avoiding costly cloud platform dependency.
Executing financial analysis with microsecond latency. Custom bios settings combined with raw parallel compute power ensure pricing signals are processed instantly, maintaining competitive performance.
When deploying large-scale compute hardware, evaluating options involves looking beyond simple GPU specifications. Procurement officers must evaluate several core factors to ensure long-term platform viability:
By engineering these requirements into every chassis, BoltGrid provides scalable enterprise solutions that reduce long-term maintenance costs and keep systems running reliably.
Technical and logistical insights for systems integrators and enterprise procurement teams.
Standard server configurations typically ship within 3 to 4 weeks. Custom designs—including custom cooling blocks, custom BIOS configurations, or custom chassis branding—take 6 to 8 weeks, depending on component availability in our partner network.
Yes. BoltGrid servers are optimized to run popular containerized frameworks, including PyTorch, TensorFlow, and custom Triton inference loops. This compatibility makes them well-suited for running open-weights models like DeepSeek-V3 and DeepSeek-R1.
Every server undergoes a 72-hour burn-in period inside dynamic thermal chambers. We simulate worst-case compute situations, tracking thermal sensor outputs across all PCIe lanes, processors, and memory blocks to prevent structural failures in production.
Absolutely. Our servers adhere strictly to standard EIA-310 rack-mount specifications. We ship every unit with adjustable sliding rails, cable management arms, and standardized power connections to ensure easy integration into existing enterprise environments.
High-throughput servers and optical switches designed to optimize data flow, storage, and networking across distributed computing networks.
