G1231-1600WNA – 1600W 1U Power Distribution Board for AI Servers, Edge Computing, and High-Performance Storage
The G1231-1600WNA 1600W 1U Power Distribution Board is purpose-built for AI servers, edge computing infrastructure, and high-performance storage environments. It features a compact 1U chassis (226 x 156 x 41.5 mm) and supports a 1+1 redundant configuration to maximize system uptime and reliability.
This advanced PDB provides multiple outputs: +12V/132A, +5V/25A, +3.3V/25A, -12V/0.5A, and +5Vsb/3A, delivering ample power to support intensive processing and connectivity needs.
It supports a wide input voltage range (90–264Vac / 180–300Vdc), allowing flexible deployment across global power standards. Equipped with digital control and PMBus 1.2, the unit enables precise power monitoring, remote management, and system diagnostics.
High efficiency (Platinum or Titanium level) and active power factor correction (PFC) ensure stable and energy-efficient operation. Hot-swap functionality enables non-disruptive maintenance and upgrades.
Intelligent fan control and reverse airflow support enhance cooling performance in high-density configurations. Fully certified to UL, CE, FCC, CB, CCC, and more, the G1231-1600WNA is optimized for reliable use in mission-critical applications.
Features
1U Dimension: 226x156x41.5mm(LxWxH)
Input: 90 to 264Vac,180-300Vdc
Hot-plug
Full Digital control
Efficiency: Platinum/Titanium
Active Power Factor Correction
Reverse Airflow Option
Intelligent-thermal Fan Control
1+1 1U Redundant
Applications
Server
Storage
Networking
HPC
Data Centers
Rendering Farms
Medical Equipment
Telecom Infrastructure
Approvals
UL/cUL
CB
TuV-Mark
CCC/CQC
FCC
CE
NOM
BIS
Specifications
| Output Power (W): | 1600 |
| Length (mm): | 226 |
| Width (mm): | 156 |
| Height (mm): | 41.5 |
| Mounting Type: | Hot pluggable |
| Output Current (V): | +12V/132A, +5V/25A, +3.3V/25A, -12V/0.5A,+5Vsb/3A |
| Minimum Output Power (W): | 0 |
| Maximum Output Power (W): | 1600 |
| Minimum Input Voltage (V): | 90 |
| Maximum Input Voltage (V): | 264 |
Model Selection Comparison Table
|
Model |
Power Class | Use Role | Input | Form Factor | Recommended Use |
| G1231-0150WNA | Entry | Low-power micro-server & control PDB | AC/DC | 1+1 PDB |
Light compute, gateways, telemetry nodes |
| Mid | Slightly higher demand | AC/DC | 1+1 PDB | Edge compute with minor concurrency | |
| G1231-0350WNA | Upper-Mid | Storage-light VM | AC/DC | 1+1 PDB |
Small VMs or micro-datacenter |
| High | Balanced I/O workloads | AC/DC | 1+1 PDB | Routing + container nodes | |
| G1231-0550WNA | High+ | Heavier mixed loads | AC/DC | 1+1 PDB |
Moderately scaled micro-hosting |
| Strong | Compute/storage combined | AC/DC | 1+1 PDB | Medium multipurpose deployments | |
| G1231-1300WNA | Extreme | Dense compute edge | AC/DC | 1+1 PDB |
Hybrid processing workloads |
| Peak | Multi-service environments | AC/DC | 1+1 PDB |
Gateway clusters & scalable compute |
Deployment Scenarios
The G1231-1600WNA represents the peak power configuration of the G1231 portfolio — built for dense compute fabrics, multi-tenant VM platforms, SDS-heavy clusters, security routing with acceleration, and GPU-assisted AI inference nodes operating under sustained high activity. This watt class supports complex service stacking where CPU, NVMe, encryption, caching, and inference workloads run concurrently. It is suitable for regional POP compute cores, private cloud expansion units, distributed object storage gateways, and edge AI cluster topologies that demand stability under peak concurrency.
|
Scenario |
Workload Load Profile | Why 1600W Tier Fits |
| High-density VM farms | Parallel workloads |
Room for scale-out |
|
SDS clusters |
Database / NVMe | IO pressure tolerance |
| POP compute + routing | High throughput |
Stable under encryption |
|
Edge AI inference |
Frequent GPU tasks | Reserve for accelerators |
| Private cloud stacks | Mixed duties |
Predictable long runtime |
|
Multi-service fusion |
CPU + IO + security |
Consistency at peak |
Power Architecture & Reliability Design
The G1231-1600WNA is engineered for high endurance under continuous peak loading, delivering stable voltage quality during heavy NVMe write operations, parallel virtual machine execution, rapid network encryption, and AI inference bursts. Its power architecture is designed to remain consistent even when multiple high-demand workloads overlap, supporting environments where utilization frequently approaches upper limits for extended periods.
Advanced ripple suppression maintains predictable latency across storage and transport paths, protecting SSD performance and network responsiveness during sustained I/O pressure. Clean rail behavior reduces the risk of jitter or throttling when encryption, database activity, and inference tasks scale simultaneously, making the unit suitable for latency-sensitive and throughput-driven deployments.
Thermal performance is optimized to support long uptime windows in dense rack and POP environments, preventing thermal collapse during 24/7 high-duty operation. Heat distribution and airflow management enable stable operation in compact enclosures, while PMBus visibility provides insight into load patterns, thermal trends, and lifecycle indicators. This supports proactive maintenance and cluster-wide reliability planning, particularly valuable for regional edge and scale-out deployments where on-site service access is limited.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| AI micro-inference nodes |
Thermal headroom recommended |
|
Storage compute grids |
Monitor SSD temperatures |
| POP + encryption heavy |
Maintain grounding quality |
|
High VM density |
Trend PMBus power curves |
| Continuous routing |
Keep fan profiles optimized |
|
Private cloud blocks |
Reserve margin for failover |
| Long lifecycle fleets |
Dust/airflow checks extend life |
|
GPU scaling path |
Upgrade beyond for heavy AI |
FAQ
Q1. Best deployment for G1231-1600WNA?
Multi-service clusters with AI inference or scaling compute fabrics.
Q2. Suitable for heavy 24/7 workloads?
Yes — built for continuous peak runtime reliability.
Q3. Key advantage vs 1300W?
Substantial gain in concurrency reserve and GPU overhead.
Q4. Redundancy integration?
Native for 1+1 PDB high availability environments.
Q5. Does it support accelerated routing?
Yes — handles encryption + inference stacked loads.
Q6. Ideal storage type pairing?
NVMe SSD-based SDS clusters with high IO turnover.
Q7. Maintenance recommendation?
Enable PMBus logging for trend-based replacement cycles.
Q8. When insufficient?
Only when heavy GPU AI workloads exceed thermal budget, requiring larger watt-tier models.