Dynova Dynova

China Best Storage Solutions Factory & Supplier

Custom High-Density Rack Servers, GPU Accelerators, and Enterprise Software-Defined Storage Architecture Tailored for Next-Generation Computing Workloads.

Dynova AI Systems Inc.

Dynova AI Systems Inc. is a professional manufacturer specializing in high-performance AI GPU servers, GPU workstations, and customized computing infrastructure for AI training, AI inference, HPC, cloud computing, and enterprise data centers. Since our establishment in 2017, we have been committed to delivering reliable, scalable, and energy-efficient GPU computing solutions to customers worldwide.

Supported by 8 years of export experience and 9 years of industry expertise, we continuously invest in research and development to provide innovative GPU server platforms compatible with leading NVIDIA and AMD accelerator technologies. Our experienced engineering team enables flexible ODM and OEM services, allowing customers to customize CPU platforms, GPU configurations, memory, storage, networking, chassis, cooling systems, branding, and software integration.

Quality is at the core of everything we do. Our products undergo 100% functional testing, burn-in testing, thermal performance verification, compatibility validation, and reliability testing before shipment. A dedicated quality assurance team of 58 inspectors ensures every product delivers consistent performance and long-term stability.

Operational Metrics

  • Facility Area: 23,800 m²
  • Annual Export Revenue: USD 28 Million
  • Quality Control Staff: 58 Inspectors
  • R&D Engineers: 142 Experts
  • Supply Chain Partners: 1,260+ Partners
  • New Products Last Year: 186 Units

Enterprise Storage Solutions at Scale

Global storage infrastructure requires robust testing, massive R&D, and extensive supply chains. Here is how our metrics support your enterprise goals.

23.8K+ Square Meter Facility
$28M Annual Export Revenue
142 Dedicated R&D Engineers
100% Multi-Stage Quality Audited

Strategic Development Trends in Enterprise Storage Solutions

The rapid expansion of artificial intelligence, high-performance computing (HPC), and distributed container workloads has driven a radical transformation in the architectural demands of enterprise data centers. Standard storage topologies are no longer sufficient to handle the unstructured data generation rates of modern systems. Consequently, corporate IT buyers are pivoting from legacy Direct Attached Storage (DAS) and basic Network Attached Storage (NAS) configurations to software-defined, ultra-dense, non-volatile memory architectures.

One of the prominent trends in the industry is the adoption of NVMe over Fabrics (NVMe-oF), which allows servers to access remote NVMe SSDs with latencies comparable to local storage. Our engineering teams at Dynova leverage these low-latency pathways within our customized rack server deployments, ensuring minimal bottlenecking between GPU computing complexes and storage pools. Additionally, the transition to PCIe Gen5 architectures doubles the bandwidth of previous gen hardware, enabling massive data throughput for workloads running on AI clusters like DeepSeek and Llama-based training models.

Global Enterprise Procurement Challenges & Demands

Procurement officers face highly volatile hardware markets where lead times, compatibility assurances, and strict total cost of ownership (TCO) profiles dictate capital deployment. When evaluating high-density storage factories in China, global system integrators and hyperscalers demand three core attributes:

  • Hardware Component Quality: Long-term mechanical stability of power distribution modules (such as high-efficiency server power supplies) and error-correcting memory circuits.
  • Supply Chain Security: A diverse ecosystem of vetted component suppliers that insulates custom production schedules from semiconductor market fluctuations.
  • Comprehensive Interoperability: Verification that customized white-box hardware functions seamlessly under diverse operating systems (RedHat, Rocky Linux, Ubuntu Server) and hypervisors (VMware vSphere, Proxmox VE).

Macro-Industry Architectural Storage Solutions

For enterprise clients, storage is not a monolithic component but a layered ecosystem. We construct macro solutions spanning three distinct operational domains:

Distributed Storage Blocks

Designed for multi-node virtualization environments, utilizing Ceph or GlusterFS configurations to provide scale-out capacity with active replication.

High-Throughput Hot Tiering

Utilizing high-performance NVMe PCIe Gen 4/5 drives alongside extreme speed M.2 boot drives to feed training data directly to multi-GPU computing arrays.

Cold & Archival Storage

Deploying ultra-dense LFF (Large Form Factor) HDD servers with multi-tier controller architectures to guarantee minimum active power footprint per Terabyte.

Localized Support, Regulatory Compliance, and Quality Safeguards

Dynova guarantees complete alignment with international trade and technical directives. Recognizing that localized implementation relies heavily on remote diagnostics and component accessibility, we integrate comprehensive management features (like IPMI 2.0 with Redfish API support) to allow system admins to evaluate hardware health variables globally.

Our testing protocols are highly structured. Our 58 Quality Assurance inspectors monitor a multi-tiered validation program:

  1. Functional Testing: Every internal bus path, memory slot, and PCIe channel is checked under active diagnostic software.
  2. Burn-in Testing: Systems undergo continuous heavy processing load under high thermal stress scenarios for a minimum of 48-72 hours.
  3. Compatibility Auditing: Cross-platform testing ensures compatibility with standard RAID array controllers, QSFP interface modules, and network interface cards (NICs).

Technical Roadmap & Future Architectural Developments

Our R&D vision centers around two technology trajectories: Compute Express Link (CXL) hardware pooling and liquid cooling technologies. As computing nodes require larger dynamic memory access patterns, CXL will allow memory and storage hardware resources to be shared dynamically across multiple server motherboards. At the same time, because AI GPU rack densities frequently push beyond 30kW per rack, we are developing next-generation direct-to-chip liquid cooling systems and immersive cooling interfaces for our 1U and 2U high-density configurations, reducing operational PUE levels to below 1.15.

Dynova Company Profile & Specifications

A comprehensive breakdown of our operational parameters, factory sizing, and capability criteria under E-E-A-T manufacturing benchmarks.

Strategic Metric Enterprise Capabilities & Specifications
Company Name Dynova AI Systems Inc.
Established 2017 (9 years of industry experience, 8 years of export experience)
Facility Area 23,800 m² modern manufacturing footprint
Annual Export Revenue USD 28 Million
Quality Control Staff 58 Inspectors on-site
Business Model Hardware Manufacturer, OEM & ODM Custom Service Provider
Main Export Markets North America, Western Europe, Southeast Asia, Middle East, Australia
Supply Chain Network Cooperating with 1,260+ qualified upstream component manufacturers
Testing Processes 100% Functional Testing, Burn-in Testing, Thermal Testing, Compatibility Testing, Reliability Verification
R&D Capability Independent Hardware Design, BIOS/Firmware Optimization, Thermal Engineering, AI Infrastructure Development (142 R&D Engineers)
Product Releases 186 New products released last year to accommodate changing storage technologies

Our Manufacturing & Infrastructure Facilities

A look inside our manufacturing processes, including cleanroom assembly areas, automated surface mount lines, and QA testing facilities.

Enterprise Storage Solutions: FAQ

Get answers to common technical, customization, and logistical questions when importing enterprise storage servers from our factory.

Q1: What customization options are available for OEM/ODM servers? +
Our ODM and OEM services are fully flexible. We allow customization across various layers of the hardware stack, including CPU architecture (Intel Xeon, AMD EPYC), storage configuration backplanes (NVMe, SAS, SATA, M.2), RAM layouts, specialized network interface cards (NICs), custom chassis heights (1U, 2U, 4U, or custom tower designs), power supply configurations (such as standard AC/DC or HVDC modules), BIOS branding, and customized Linux operating system pre-installations.
Q2: What is Dynova's procedure for quality control and hardware verification? +
We apply a multi-tier verification process monitored by 58 internal inspectors. Every system undergoes: 1) Initial component validation, 2) High-stress SMT inspection, 3) 100% Functional diagnostics, 4) Sustained thermal and workload burn-in testing under controlled conditions (up to 72 hours), and 5) Compatibility confirmation with your specific enterprise OS/Hypervisor layout.
Q3: How does Dynova handle support logistics for international clients? +
We provide comprehensive warranty packages alongside global component shipping. In the event of a component failure (such as a power module or drive controller), we dispatch replacements directly to your location using express shipping channels. Remote management tools like IPMI and Redfish are configured out-of-the-box to allow our support engineers to troubleshoot issues alongside your team.
Q4: Are your servers optimized for AI workloads, like DeepSeek or LLM model deployment? +
Yes, our AI GPU servers and workstations are optimized for deep learning, training, and inference. The PCIe layouts are configured to minimize latency between multi-card configurations (using NVLink or high-bandwidth PCIe paths), and the storage systems are designed with high-throughput NVMe drives to ensure that the AI processors are fed data without bottlenecks.
Q5: Can you integrate legacy SAS/SATA drives alongside modern NVMe pools? +
Yes. We design and build hybrid backplane configurations that support U.2/U.3 interfaces, allowing customers to dynamically pool SAS, SATA, and NVMe drives within the same system chassis. This enables optimized tiering, where hot data resides on fast NVMe drives while cold storage uses high-capacity SAS hard drives.
Q6: How does the supply chain partnership system work? +
Dynova works with over 1,260 supply chain partners globally. This large network allows us to source raw materials, silicon chips, network components, and custom metal chassis parts rapidly, shielding our customers from single-source manufacturing bottlenecks and ensuring consistent delivery times.