BoltGrid
BoltGrid
Explore our top-performing GPU server systems and rackmount solutions configured for modern generative AI and neural network acceleration.
BoltGrid Computing Systems Co., Ltd. is a leading professional AI GPU server manufacturer specializing in high-performance computing (HPC) infrastructure, cluster designs, and enterprise-grade data center systems. Since our inception in 2016, we have integrated hardware engineering, state-of-the-art manufacturing, and direct international distribution to support complex AI deployments.
Operating a modern 18,500㎡ production facility, our assembly, thermal load profiling, and multi-day stress test protocols are designed to ensure compute reliability. With over 12 years of industry experience and a highly trained QA unit of 45 inspection engineers, we guarantee system-level stability for applications ranging from deep learning inference to LLM training.
Our direct strategic procurement network of over 850 partners ensures immediate access to primary chipsets, custom rackmount designs, power subsystems, and liquid-cooling blocks. Currently exporting approximately USD 18 million annually, BoltGrid serves enterprise clients, cloud operators, and high-performance computing labs across North America, Europe, Southeast Asia, and the Middle East.
How compute requirements, memory speeds, and interconnect pipelines are transforming modern data centers.
Modern generative AI models, such as DeepSeek-R1 and GPT-class LLMs, demand massive cluster configurations. Our high-bandwidth nodes feature PCIe Gen 5 routing, NVLink compatibility, and RDMA over Converged Ethernet (RoCE v2) to remove processing bottlenecks and enable low-latency parameter exchange.
Processing complex neural networks generates extreme heat profiles. BoltGrid designs multi-airflow chassis, dual-path heat pipe layouts, and customized liquid-to-air cooling loops. This ensures internal system temperatures remain stable even during 100% compute load cycles.
Large language models require vast pools of active memory. Our motherboard integration options include multi-channel DDR5 ECC RAM modules and high-speed NVMe PCIe Gen 5 SSD configurations, giving you the memory bandwidth required to ingest datasets in real time.
We configure every GPU server to match our client's unique computational constraints, software stacks, and environment structures.
Purchasing AI hardware demands high customization due to varying data center requirements. With 120 specialized R&D engineers, BoltGrid assists IT procurement managers in specifying the exact parameters needed for their deployments.
Whether you are deploying standard enterprise racks or hyper-scale clusters, we provide tailored options. Our teams customize rack layouts, specify memory densities, configure network interface cards (NICs), and pre-load specialized operating systems or AI stacks (like CUDA and ROCm) to ensure plug-and-play capability upon delivery.
We launch approximately 85 new products every year, keeping pace with rapid design shifts in high-performance processors, accelerator platforms, and storage architectures.
Tailored server clusters built to handle heavy computational workloads across key business sectors.
Training and serving LLMs like DeepSeek-V3 or LLaMA requires massive GPU clusters. Our configurations minimize latency across nodes, allowing developers to manage model parameters, store gradient updates, and perform inference operations without memory limits.
Computer Vision models must process millions of video frames and sensor outputs to train perception networks. Our systems support high-throughput NVMe RAID arrays, ensuring that GPU pipelines remain saturated with training images and point-cloud data.
Scientific institutions rely on GPU nodes for genome sequencing and protein folding simulation. We build high-precision FP64 compute platforms that reduce processing times from weeks to hours, allowing researchers to run large-scale calculations reliably.
Protecting your investment with strict quality assurance, regulatory compliance, and international logistics support.
Every server assembly undergoes rigorous system testing before leaves our factory. The 45-inspector quality assurance framework includes 72-hour continuous burn-in testing under full load, vibration simulation, and thermal chamber analysis spanning -10°C to 55°C. This systematic process ensures that your GPU nodes can handle sustained enterprise computational loads.
Shipping sensitive high-performance computing equipment globally requires strict compliance with international trade rules. BoltGrid manages customs declarations, export license applications, and shipping logistics to ensure secure, compliant transit to North America, Europe, the Middle East, and Asia. Our dual-wall packaging and anti-static, shock-absorbent crates protect delicate components during shipping.
We provide comprehensive warranty coverage and parts replacement programs. Our engineering team assists remote data center operations staff with setup, IPMI integration, and thermal troubleshooting. This minimizes downtime and ensures your hardware delivers maximum performance throughout its lifecycle.
As artificial intelligence architectures transition from dense models to sparse Mixture-of-Experts (MoE) designs, the workload demands placed on hardware are shifting. BoltGrid's engineering team is actively designing systems to support PCIe Gen 6 architectures, liquid-to-liquid cooling systems, and high-density 800G transceiver technologies.
Our future products focus on reducing Power Usage Effectiveness (PUE) in AI data centers. By integrating smart PMBus power supplies, optimized airflow paths, and modern liquid-cooling options, we help our clients minimize power consumption and reduce their overall carbon footprint.
Our upcoming hardware designs integrate direct-to-chip liquid cooling loops to maximize heat dissipation for high-TDP accelerator configurations.
Answers to common technical, logistics, and configuration questions from procurement and data center managers.
Every GPU server undergoes a rigorous, multi-stage testing process at our facility. Our 45 QA inspectors run 72-hour full-system burn-in tests, simulate various thermal conditions, and perform component stress testing under load. This process allows us to identify and replace weak components, ensuring high stability in production environments.
Yes, we provide flexible, customized layout engineering. We align PCIe switches, configure high-speed network adapters, and structure the CPU-to-GPU bandwidth to match the training or inference demands of models like DeepSeek-R1, optimizing throughput and reducing data latency.
We offer both liquid-to-air hybrid cooling and direct-to-chip (D2C) liquid cooling configurations. Our configurations support high thermal design power (TDP) processors and accelerators, allowing systems to run cooler, extend hardware life, and reduce data center energy costs.
We maintain full compliance with all relevant export control rules. Our dedicated team manages export paperwork, applies for required dual-use export permits, and packages shipments securely. This ensures your hardware crosses international borders smoothly and arrives safely.
Standard configurations are usually shipped within 2 to 3 weeks. Custom configurations involving specialized motherboard setups, specific cooling systems, or custom rack mounts typically take 4 to 6 weeks. This timeline covers our hardware sourcing, custom engineering, and final quality control checks.
Yes. All BoltGrid AI servers feature ASPEED AST2600 (or equivalent) BMC chips that support standard IPMI 2.0 and Redfish APIs. This allows your team to easily integrate our hardware into existing data center management software for remote power control, monitoring, and updates.
Inside our 18,500㎡ facility, where our teams assemble, test, and package high-performance hardware.
High-density 1U, 2U, and 4U solutions for cloud storage, virtualization, and machine learning pipelines.
