Novram Novram

Next-Generation Industrial Edge Computing

OEM/ODM Collaborative Robotics Manufacturer & Supplier

Macro-Industry Solutions & Global Robotics Demands

The rise of Industry 5.0 and Human-Robot Collaboration requires a radical evolution in underlying edge hardware, real-time latency minimization, and extreme thermal resilience.

Low-Latency Processing

Collaborative robots (Cobots) rely on instant sensory feedback loop execution. Using high-frequency DRAM modules reduces memory access bottlenecks, enabling immediate obstacle avoidance, safety stop responses, and fluid path-correction algorithms.

High Thermal Performance

Sealed joint controllers and compact CPU compartments inside cobot arms isolate heat. We design 300W+ liquid and air cooling architectures that prevent thermal throttling, keeping computing modules operating under safe temperature envelopes.

System Integration & PCBs

Modern robotic systems require dense, multi-layer high-frequency control boards. Our specialized aluminum substrate PCBs and FR4 assemblies handle high-speed signal pathways with minimized electromagnetic interference (EMI).

The Hardware Architecture Behind Smart Automation

Collaborative robotics is no longer just about mechanical kinematics; it is fundamentally an Edge Artificial Intelligence challenge. Cobots utilize computer vision, depth mapping, multi-axis force-torque sensor arrays, and natural language interfaces to safely work alongside human operators.

To execute these sensor-fusion algorithms in real-time, the robotic control unit (RCU) requires structural memory reliability and optimal thermal management. We engineer components specifically to withstand physical vibrations, high humidity, and continuous heat loads typical of factory-floor deployments.

  • ECC Error-Correcting Code Memory: Prevents single-bit soft errors from causing system lockups, ensuring continuous uptime in production lines.
  • Ultra-Thin Aluminum PCBs: Custom thermal-conductive substrates that pull heat away from active logic chips in enclosed controller shells.
  • Industrial Mini-ITX Boards: Compact processing nodes powered by energy-efficient architectures (like Intel N100) supporting intensive I/O capabilities.

Computing Node Requirements

A typical 6-axis collaborative robot executing trajectory planning requires:

Real-time Kernel Response: < 1 millisecond cycle times

Memory Bandwidth: DDR4/DDR5 dual-channel architectures

Thermal Dissipation: Up to 350W peak cooling capability

Vibration Tolerances: 5G to 20G shock levels

"Novram’s design framework guarantees that hardware bottlenecks never interfere with the physical safety dynamics of collaborative robots."

Novram Electronics: A Legacy of Industrial-Grade Manufacturing Excellence

Established in 2016 in Shenzhen, China, Novram Electronics Co., Ltd. is a professional DDR5/DDR4 and industrial system hardware manufacturer. We provide high-performance hardware and custom sub-systems to global robotics brands and system integrators.

3,860㎡ Modern Facility
9+ Years Industry Experience
76 Engineers R&D Team
$18.6M Annual Export Revenue

100% Comprehensive Testing

Reliability is paramount. Our hardware undergo strict functional, compatibility, burn-in, temperature, and aging verification. Backed by 42 professional quality inspectors, we assure that every control board and memory kit matches rigorous aerospace-grade and industrial safety certifications.

Supply Chain Integrity

With partnerships spanning 860 qualified supply chain partners, we secure high-grade DRAM chips, premium copper substrates, and tier-1 electrical components. This robust procurement network protects our clients from component scarcity and guarantees stable pricing cycles.

Flexible OEM/ODM Customization

We design bespoke solutions. From custom capacity sizing, custom layout designs, firmwares optimized for real-time operating systems (RTOS), and localized thermal setups, our engineering department releases approximately 138 new products annually to keep pace with industry demands.

Industrial Application Scenarios

Deploying high-performance computing hardware where precision, heat management, and physical space dictate system limits.

Autonomous Mobile Robots (AMRs)

AMRs require dense multi-sensor input computing. Navram's low-voltage SODIMM DDR4 and DDR5 memory modules supply high bandwidth for LiDAR map calculations and navigation routes, while preserving battery efficiency in industrial environments.

6-Axis Joint Controller Integration

Embedded controller boards require thin-profile custom PCBs to fit within the robotic arm skeleton. Our FR4 and high-frequency aluminum substrate PCBs fit inside compact joints to handle motor feedback loop controllers without signal noise.

Industrial Vision Core Systems

Industrial camera nodes capturing high-frame-rate quality inspections need fast, dedicated buffering memory. Our high-frequency ECC RAM modules process pixel matrices without data drops, enabling AI inspection systems to run stably.

Technology Roadmap & Future Outlook

As collaborative robotics evolve towards cloud-connected fleet management and decentralized machine learning, memory bandwidth and thermal capacities will need to scale accordingly.

Our R&D roadmap focuses on:
• Transitioning industrial controllers to low-latency DDR5 configurations.
• Engineering active liquid-loop radiators for next-gen 350W+ processors.
• Deploying ultra-high thermal conductivity PCB materials.

Key Innovation Benchmarks

Phase 1: High-Speed Memory Transitions Development of specialized DDR5 modules with on-die ECC configurations, running at 4800MT/s to 5600MT/s under industrial temperature scopes (-40°C to +85°C).
Phase 2: Closed-Loop Active Cooling Systems Integrating micro-channel liquid-to-air cooling loops for robotic cabinets, sustaining computing chips under high dust, oil-mist, and vibratory warehouse zones.
Phase 3: High-Frequency Substrates Pioneering ceramic-filled aluminum and copper-clad laminates for high-power robotic servo drivers to handle sudden torque spikes without circuit wear.

Q&A: Robotic Hardware Engineering

Common inquiries from robotics design teams, procurement managers, and system integrators regarding industrial-grade computing solutions.

Why is ECC (Error-Correcting Code) memory necessary for collaborative robots?

Collaborative robots share workspaces with human operators, making safety a priority. If a standard RAM module experiences a soft single-bit flip due to electromagnetic noise or thermal stress, the robot controller could crash, leading to physical collisions or sudden lockups. ECC memory detects and corrects these errors in real time, preventing crashes and protecting operators.

How do Novram's thermal liquid coolers handle high vibrations?

Our LGA-series liquid radiators and heatsinks are built with reinforced mount points, industrial thread-locking inserts, and robust sealing membranes. This prevents leakage or detachment under continuous vibrations from robotic motion. They are tested to handle shocks up to 20G without structural failure.

Can you provide custom PCB layouts for space-constrained robotic joint housings?

Yes, our ODM division specializes in designing custom PCBs, including high-density FR4 boards and multi-layer aluminum substrates. We optimize traces for electrical isolation, thermal dissipation, and compact layouts to fit within joint modules.

What testing procedures are implemented for quality assurance?

Each batch undergoes 100% functional testing, compatibility testing across industrial controller chipsets, high-temperature burn-in testing, and thermal cycling verification. We maintain 42 dedicated quality inspectors to ensure zero defects leave our factory.

Our Manufacturing Facilities & Infrastructure

Step inside Novram Electronics' 3,860㎡ facility, designed for precise SMT assembly, multi-layer board fabrication, and strict quality verification cycles.