TensorNova
TensorNova
High-throughput computation nodes optimized for enterprise big data pipelines, AI models, and real-time query engines.
Understanding how advanced computation frameworks, GPU arrays, and smart storage layers sustain global analytics operations.
Modern analytical databases require microsecond retrieval speeds. By utilizing server-side SSDs, NVMe storage fabrics, and multicore Xeon computing, processing large SQL, Spark, or Hadoop workloads becomes extremely fast.
GPU clusters are the core hardware for complex algorithms like DeepSeek. Having dedicated acceleration cards, high bandwidth memory (HBM), and multi-channel system architectures helps minimize data transfer bottlenecks.
Edge server technologies aggregate IoT telemetry data directly at local collection points, helping reduce latency and saving cloud bandwidth by processing raw metrics locally.
Established in 2016 in China, TensorNova has become a specialized manufacturer of high-performance AI GPU servers and computing infrastructure. Over the years, we have grown into a reliable global supplier, focusing on stable customized designs for machine learning, big data analytics, and cloud databases.
Operating out of our specialized facilities, our experienced R&D team works closely with component partners to provide tailored solutions. We support a wide variety of custom configurations, from GPU scaling and thermal tuning to motherboard optimization.
Providing customized options tailored for data analysis pipelines and heavy software workflows.
Adjusting BIOS configurations, PCIe channel allocation, and memory profiles to improve processing speeds and minimize latency during high-density query operations.
Configuring PCIe architectures to match specific workloads, ensuring high throughput for parallel machine learning calculations.
Designing custom cooling solutions to keep temperatures stable under continuous processing loads, ensuring high system reliability.
Meeting the strict security, safety, and regulatory standards required by global enterprise operations.
Supporting high-density server configurations that align with FCC part 15 guidelines, ensuring compliance with local enterprise standards.
Helping systems meet CE electrical safety standards and EU energy initiatives, ensuring compatibility with local data center setups.
Providing cooling designs built for warmer climates, helping infrastructure run reliably in high-temperature environments.
A look into our manufacturing, assembly, and testing lines.
Storage expansion nodes, array cards, and high-performance server boards to support expanding database infrastructure.
Aligning hardware architectures with upcoming advancements in enterprise computing and database technologies.
Designing system buses to support newer generations of PCIe connections, helping speed up information sharing between accelerators, memory pools, and the main system processors.
Structuring systems to work with modern modular standards, which allows data centers to scale their computing, memory, and storage elements independently based on shifting workloads.
Utilizing high-efficiency power supplies (such as 80 Plus Titanium standards) and smart fans to help reduce overall operating costs and energy consumption in large-scale server rooms.
Answers to common inquiries regarding server hardware sourcing, custom builds, and analytics infrastructure optimization.
Enterprise analytics applications run complex operations that require high memory bandwidth, fast storage access, and strong processing power. Using well-matched hardware like high-speed NVMe storage and multicore processors helps avoid bottlenecks, ensuring stable database queries and quick dashboard rendering under heavy user demand.
We provide a variety of customization options, including specific motherboard BIOS modifications, adjusted PCIe channel setups, custom air or liquid cooling configurations, and component scaling to match the requirements of particular analytics workloads.
Our systems undergo a series of quality checks, including automated hardware stress tests, temperature evaluations, system burn-in testing, and simulated database processing runs. These processes are managed by our dedicated team of 45 quality control personnel following ISO9001 guidelines to help ensure reliable long-term performance.
Yes, we design our hardware configurations to align with the regulatory standards of our primary markets. This includes supporting FCC guidelines for North America, CE standards for Europe, and providing optimized cooling configurations designed to run reliably in the warmer environments of the Middle East.
Running complex models like DeepSeek requires significant hardware support. We recommend utilizing servers equipped with multi-socket processors, high-capacity system memory (256GB or higher), and dedicated GPU expansion options to ensure smooth model execution.
Standard assembly times vary depending on component availability and specific customization needs. Thanks to our collaboration with over 1,200 suppliers and component partners, we work to maintain a consistent production schedule and reduce lead times for custom orders.
