TensorNova
High-throughput GPU servers, computing racks, and storage solutions custom-engineered for decentralized machine learning deployments.
In the current epoch of decentralized processing, waiting for cloud data centers to yield critical compute decisions introduces unacceptable latency, massive bandwidth bottlenecks, and systemic security hazards. Edge AI computing shifts the processing paradigm by deploying high-throughput deep learning and inference hardware right at the data generation boundary.
Whether configuring high-density multi-socket servers, localized GPU-accelerated network storage systems, or deploying optimized network layers for specialized model architectures like DeepSeek, standard cloud solutions no longer meet the stringent requirements of mission-critical applications. Enterprise operations require customized, application-specific OEM hardware that aligns exact TDP (Thermal Design Power) and FP16/INT8 compute operations to the deployment footprint.
Established in 2016, TensorNova has built a robust reputation as a premier provider of high-performance AI computing hardware, serving global enterprise demands.
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Operating a specialized facility covering approximately 320㎡, TensorNova leverages a lean layout optimized for complex motherboard placement, custom chassis integration, and state-of-the-art thermal testing. With 6 years of direct export operations and over 12 years of industry computing background, our factory functions as a flexible OEM hub for global markets including the United States, Germany, Singapore, and the United Arab Emirates.
Quality control is structured under strict ISO9001-based guidelines. Our specialized QA squad of 45 quality control personnel ensures that every edge device, GPU system, and server rack undergoes a comprehensive array of verification stages, including:
We leverage our robust network of over 1,200 verified component suppliers to deliver complex, customized computing solutions. Last year alone, TensorNova rolled out more than 320 distinct products, custom-tuning elements such as:
Mapping the global distribution and industrial applications of edge computing from manufacturing floors to high-performance local network setups.
Characterized by massive demand for autonomous vehicular compute modules, smart city infrastructure, and real-time LLM inference inside regional distribution sites. High emphasis is placed on FCC certifications, hardware security trust modules (TPM 2.0), and rapid parts-replacement chains.
Industrial automation drives the market. Heavy requirements exist for DIN-rail compatible edge machines, fanless IP65 structures, and compliance with CE, RoHS, and EU GDPR data residency mandates. Hardware must operate reliably in environments containing high particulate loads.
A global hub for smart transport hubs, multi-tenant telecom MEC (Multi-access Edge Computing) nodes, and localized AI surveillance loops. Demands feature high performance under elevated temperatures, dual redundant high-amperage PSUs, and compatibility with carrier-grade switches.
Bridging raw physical performance and deep-learning software libraries for edge reliability.
Combining primary high-core-count x86 host CPUs (such as Intel Xeon Scalable or AMD EPYC) with low-power localized accelerators. The integration of specialized ASICs, tensor processing units, and high-bandwidth GPUs reduces the power footprint while keeping processing pipelines local.
To avoid throttling in rugged settings, custom thermal loops are utilized. We design sealed vapor chambers, high-density fins, and dual-bearing long-MTBF active fans capable of working across wide operating temperature bands (-20°C to +60°C).
Optimizing servers to support compressed models like DeepSeek-R1-Distill. High-speed PCIe Gen 5 links allow large-volume models to load rapidly from NVMe storage straight to VRAM, reducing time-to-first-token parameters.
Because physical access is a vulnerability at the edge, devices incorporate TPM 2.0 chips, secure boot chains, and chassis-intrusion mechanisms to lock keys if physical tampering occurs.
Tailored hardware setups that convert sensor streams into immediate operational insights.
Deploying specialized high-density GPUs right next to factory assembly lines. High-speed cameras feed image streams directly into the local inference card over 10GbE fiber lines, allowing real-time object classification and flaw detection with sub-5ms latencies.
Processing thousands of inputs from local substations. Deploying dynamic multi-socket compute nodes permits real-time grid diagnostics, isolating transformer faults, and optimizing phase distribution without relying on distant cloud decision networks.
In-warehouse autonomous systems run heavy localization algorithms (SLAM) alongside path planning. Our fanless systems fit easily into automatic guided vehicles (AGVs), running workloads on limited battery budgets without overheating.
Technical answers regarding custom edge computing hardware, lead times, and global shipping.
TensorNova supports PCIe-based GPUs, SXM modules, and modular edge acceleration form factors. We tailor configurations based on target TDP limits, space constraints, and required compute throughput (INT8/FP16).
By maintaining a diverse, global database of over 1,200 verified hardware, chipset, and memory component suppliers. This deep supply line ecosystem allows us to buffer against global hardware component shortages and guarantee stable product lead times.
Yes, our systems are optimized for localized inference workloads. High-speed NVMe arrays combined with custom VRAM allocation and optimized motherboard BIOS structures ensure fast response times for quantized transformer models.
Every single server and compute node goes through a rigorous inspection pipeline, including structural inspections, full-load thermal chamber testing, and 72-hour burn-in simulations, under ISO9001-compliant quality assurance protocols overseen by our 45-person QC department.
We offer custom-engineered chassis options ranging from short-depth rack configurations for space-constrained network hubs to rugged fanless dust-resistant metal casings that act as passive heatsinks for heavy industrial areas.
High-performance AI server builds, workstations, and cluster-ready computing equipment.
A look inside our hardware integration areas, testing booths, and export distribution facilities.