BoltGrid
BoltGrid
Explore our premium wholesale selection of xFusion, Dell PowerEdge, and bespoke compute server nodes designed for intensive data workloads, deep learning systems, and robust virtualization deployments.
The global cloud computing, artificial intelligence, and enterprise-grade data management landscapes are currently undergoing a structural transformation. Computing infrastructure is transitioning from conventional CPU-centric architectures to highly accelerated, heterogeneous platform models. At the heart of this paradigm shift lies the V7 Server Architecture, representing a monumental technological evolution in bus bandwidth, memory channel density, thermal design efficiency (TDE), and AI accelerator integration.
V7 server solutions, engineered on the latest Intel® Xeon® Scalable and AMD EPYC™ processors, leverage high-performance chipsets to address the requirements of intensive AI model operations (e.g., DeepSeek-R1, LLaMA, GPT clusters), real-time edge analytics, and large-scale virtualization. System integrators and global enterprise operators recognize V7 designs as the benchmark for optimal Total Cost of Ownership (TCO) in modern hyperscale data centers. With advanced PCI Express® (PCIe) Gen 5 capabilities, double data rate 5 (DDR5) memory topologies, and Compute Express Link™ (CXL) system routing, V7 platforms mitigate the historical bottlenecks that limited throughput between localized compute nodes and storage fabrics.
By moving beyond the technical limitations of the V6 generation, V7 server systems achieve a 50% enhancement in high-density memory architecture and close to double the memory throughput. The integration of 8-channel and 12-channel DDR5 controllers (operating at up to 6400 MT/s) allows data centers to manage concurrent memory-bound algorithms without scaling physical hardware nodes. Additionally, the native integration of CXL 1.1/2.0 protocols allows cache-coherent memory sharing between CPUs and discrete accelerators, transforming standard rack infrastructures into composable, software-defined computing resources.
From an industrial perspective, V7 platforms represent the convergence of computational capacity and environmental sustainability. Enhanced thermal dynamics, liquid-to-air cooling options, and automated power capping firmware enable operators to manage energy budgets and Power Usage Effectiveness (PUE) targets, making V7 a standard choice for modern sustainable infrastructure.
The server ecosystem continues to evolve rapidly. The V7 platform is designed to align with several key technological and industrial shifts.
Modern applications require co-processing systems. The V7 architecture integrates CPUs with custom GP-GPUs, FPGAs, and dedicated AI ASICs to efficiently handle parallelized workloads, deep learning pipelines, and large language model inference.
As server component densities and thermal design power (TDP) thresholds rise, legacy air-cooling systems face limitations. V7 platforms are engineered to support direct-to-chip (DLC) and immersion liquid cooling systems, helping to minimize data center PUE.
Security starts at the physical layer. V7 servers integrate hardware-based root of trust (RoT), secure boot protocols, and cryptographic coprocessors to protect firmware, system configurations, and workloads from physical and remote intrusion.
From centralized hyperscale facilities to remote industrial edge outposts, the V7 platform is engineered for diverse operational profiles.
Configured with high-speed PCIe Gen 5 fabrics, V7 systems support multi-GPU nodes for fast model training and optimization, maintaining throughput and minimizing latency during heavy data cycles.
By leveraging high-density multi-core CPUs and DDR5 memory pools, a single V7 rack node can host dozens of isolated virtual environments, improving resource utilization and management efficiency.
V7's space-efficient layouts and wide thermal operation ranges enable deployment in localized edge nodes, supporting processing for IoT telemetry, surveillance analytics, and remote infrastructure.
BoltGrid Computing Systems Co., Ltd. is a professional AI GPU server manufacturer specializing in high-performance computing infrastructure, GPU cluster systems, and AI data center solutions. Established in 2016, the company has developed capabilities in the design, manufacturing, and global supply of advanced computing hardware.
The company operates a modern production facility covering approximately 18,500㎡, supporting large-scale assembly, testing, and system integration for AI server products. With annual export revenue reaching around USD 18 million, BoltGrid has built international trade experience over 7 years, serving customers across North America, Europe, Southeast Asia, and the Middle East.
BoltGrid maintains a total industry experience of 12 years, supported by a professional quality assurance team of 45 inspectors. The company implements multiple product inspection methods, including thermal performance testing, stress load simulation, and full-system burn-in testing to ensure stability and reliability under high workloads.
The supply chain ecosystem includes over 850 strategic partners, enabling sourcing of key components such as GPUs, server chassis, power systems, and cooling solutions. The company serves a wide range of clients, including AI cloud service providers, data center operators, research institutions, and enterprise-level IT infrastructure integrators.
With strong R&D capabilities, BoltGrid employs approximately 120 engineers focused on GPU architecture optimization, AI workload acceleration, and system-level integration. The company launches around 85 new products annually and supports customization options, including GPU configuration, memory scaling, cooling systems, and server form factor adjustments.
BoltGrid combines engineering integration with quality control to deliver reliable, scalable, and high-performance AI GPU server solutions for global computing demands.
BoltGrid works to align V7 infrastructure design with emerging technologies, ensuring long-term compatibility and scalability.
Initial prototyping is underway for next-generation platforms incorporating PAM4 signal modulation. This integration aims to double the data rates of PCIe 5.0 without increasing physical space requirements.
The roadmap includes expanding CXL 3.0 fabrics to support disaggregated memory pooling, allowing multiple server blades to share dynamically mapped RAM blocks based on demand.
Researching co-packaged optics (CPO) to replace copper traces with fiber interfaces at the chip level, aiming to minimize latency in multi-chassis clusters.
We provide tailored configurations optimized for specific application performance profiles, cooling designs, and expansion architectures.
Custom-engineered 4U multi-socket servers with PCIe Gen 5 configurations, dual 2000W redundant PSUs, and compatibility with leading accelerator architectures. Engineered for high-throughput training environments.
High-density chassis accommodating up to 36 drive bays. Optimizes read-write cycles for media editing, database pools, and low-latency hybrid cloud deployments.
Short-depth chassis with rugged frames, vibration-resistant mounts, and customized air filtering for operation outside traditional climate-controlled data centers.
Get answers to common technical, manufacturing, and logistical questions regarding BoltGrid's V7 and V6 server platforms.
Browse our advanced high-density computing platforms, multi-socket Xeon servers, and dedicated rack nodes optimized for DeepSeek training, local database clusters, and cloud computing operations.
