BoltGrid
BoltGrid
Explore high-performance xFusion server nodes customized for heavy deep learning deployments, GPU workload distributions, and hyperconverged environments across Singapore enterprises.
Singapore’s position as the premier computational hub of Southeast Asia demands next-generation server architectures that align with strict local directives. Under the IMDA Green Data Center Roadmap, Singapore has set ambitious benchmarks, pushing for data centers to achieve Power Usage Effectiveness (PUE) ratios below 1.3 while scaling up high-performance compute (HPC) nodes. Deploying xFusion server solutions offers local businesses an optimal path to meet these metrics.
Whether servicing AI clusters in the *Jurong Innovation District* or cloud deployments in *Changi*, these servers integrate high-efficiency titanium power supply units and advanced dynamic energy conservation protocols. By reducing heat output and optimizing CPU and GPU performance per watt, xFusion hardware minimizes auxiliary cooling energy overhead in tropical conditions, making it an excellent choice for local system integrators.
"The intersection of high computational demand and energy conservation requires compute platforms engineered with thermal precision. We configure architectures that deliver maximum IOPS and GPU throughput without breaching tropical cooling thresholds."
We work closely with local enterprises, hosting providers, and cloud service networks in Singapore to deploy computing power that complies with local standards such as SS 564. The demand is driven by the rapid growth of sovereign AI projects, cloud rendering services, and secure fintech operations requiring low-latency computing frameworks.
To support this, our hardware integration facility performs deep customization on server firmware to optimize workloads under high ambient operating temperatures. This localized configuration directly addresses the structural challenges faced by data centers in land-constrained Singapore, maximizing computational density per rack unit (RU).
How modern data centers are evolving globally, and what it means for APAC and Singapore-based deployment projects.
Globally, the emergence of open-source architectures such as DeepSeek-R1 has shifted focus from massive centralized training clusters to distributed inference nodes. This shift increases the demand for highly efficient 2U servers with flexible GPU expansions, which are critical for private local deployments.
With CPU TDPs climbing past 350W and accelerators exceeding 700W, traditional air cooling is reaching its physical limits. Next-gen setups rely on liquid-to-air heat exchangers and direct-to-chip water block cooling interfaces to prevent thermal throttling and ensure sustained operation.
Enterprises are replacing complex SAN networks with software-defined hyperconverged infrastructure. Consolidating storage, networking, and virtualization into standard 2U units like the 2288H V6 simplifies maintenance and reduces physical footprint requirements.
Designed for high-throughput scaling, these nodes provide the modular density required for modern enterprise databases and localized deep-learning networks.
Established in 2016, BoltGrid Computing Systems Co., Ltd. has developed into a professional AI GPU server manufacturer specializing in high-performance computing infrastructure, GPU cluster systems, and AI data center solutions.
Our modern production facility covers approximately 18,500㎡, supporting large-scale assembly, rigorous thermal testing, and integration for next-generation platforms. With over 12 years of industry experience, we design systems that match the requirements of enterprise-level IT environments.
Our supply chain operates alongside 850 strategic partners, allowing us to source and verify premium server components, cooling systems, and power units. This allows us to provide rapid customization services for regional integrators, cloud providers, and researchers looking for high-density GPU deployment configurations.
Our dedicated QA division of 45 quality inspectors runs structural checks, load stress simulations, and high-temperature thermal cycling on every unit before shipment. We verify that each computing cluster can sustain maximum computing loads under continuous production cycles.
Our xFusion and GPU server configurations are built to power mission-critical operations across key Singapore business domains.
For financial institutions located in the Marina Bay financial district, millisecond latencies are critical. Our 1U high-performance servers configured with NVMe SSD configurations and high-speed NICs provide the throughput required for algorithmic trading systems, risk management simulators, and transactional processing databases.
Deploying custom 2U server systems with short-depth casing configurations allows Singapore port operations to run complex computer vision processing at edge locations. These systems enable real-time routing for automated guided vehicles (AGVs) and video intelligence analysis across expansive shipping terminals.
At hubs like Biopolis, genomic sequencing pipelines process petabytes of raw data. Utilizing xFusion Multi-GPU servers alongside high-capacity storage clusters enables researchers to run parallel analysis pipelines efficiently, accelerating drug discovery and medical research cycles.
Standard configurations and modular platforms engineered to support local networks, dynamic virtualization clusters, and enterprise storage arrays.
Our strategic technology goals focus on architectural optimization and thermal efficiency to support next-generation workloads.
By routing cooling liquid directly to high-heat sources like processors, our custom cooling modules dissipate up to 90% of thermal energy directly. This system supports stable operation at high performance levels, helping data centers reduce cooling overhead and align with local PUE standards.
Next-generation compute platforms will support PCIe Gen 6.0 and Compute Express Link (CXL). These interfaces provide high bandwidth and support memory-sharing configurations, improving processing speeds for complex databases and large-scale simulation tasks.
Managing the data generated by AI and analytics applications requires high-density storage configurations. Our system-level chassis designs support PCIe NVMe and high-capacity SAS hard drive arrays, providing the throughput needed to prevent bottlenecking during large-scale operations.
Our server architectures are configured to run local AI workloads and large language models (LLMs) like DeepSeek-R1. We perform system tuning on the memory, bus configurations, and thermal dissipation systems to support continuous training and inference workloads.
Key information on shipping, compliance, custom configurations, and engineering parameters for xFusion server platforms.
