G1482-1300WNA – 1300W CRPS Power Supply for PoE, Networking, and AI Infrastructure

The G1482-1300WNA is a high-performance CRPS power supply tailored for Power over Ethernet (PoE) switches, telecom equipment, AI hardware, and networking systems. Its space-efficient 1U CRPS-standard chassis (185 x 73.5 x 40 mm) is ideal for compact, high-density deployments. This redundant AC/DC power unit delivers 54.5V at 23.85A on the main rail and 12V at 3A on the standby rail. Supporting a wide input range of 90–264Vac / 180–300Vdc, it is well-suited for global applications and variable power environments. Featuring full digital control and a PMBus 1.2 interface, the unit enables precise telemetry, smart monitoring, and streamlined remote management. Platinum-grade efficiency and active PFC ensure stable, energy-saving operation across all loads. Advanced fan control maintains optimal thermal performance while minimizing noise levels. With support for reverse airflow, the power supply offers greater flexibility in chassis and rack-mounted system designs. Compliant with international certifications such as UL, CE, FCC, CB, and others, the G1482-1300WNA guarantees safety, efficiency, and global deployment readiness for mission-critical infrastructure.

Features

CRPS-185: 185×73.5x40mm(LxWxH)

CRPS-265: 265×73.5x40mm(LxWxH)

3A Max standby output current

Voltage Tolerance : 54.5Vdc ±3%(52.8-56.1Vdc)

Hot-plug

Full Digital control

Active Power Factor Correction

Intelligent-thermal Fan Control

N+1 Redundant

Reverse Airflow Option

Applications

POE Switch

Networking

Telecom

Artificial Intelligence

Router System

AI Data Centers

5G Base Stations

IoT Gateways

Approvals

UL/CUL

CB

TUV/Mark

CCC/CQC

FCC

CE

Specifications

Output Power (W): 1300
Length (mm): 185
Width (mm): 73.5
Height (mm): 40
Mounting Type: Hot pluggable
Minimum Output Current (A): 0
Maximum Output Current (A): 23.85
Output Voltage (V): 54.5
Minimum Output Power (W): 0
Maximum Output Power (W): 1300
Minimum Input Voltage (V): 90
Maximum Input Voltage (V): 264

Model Selection Comparison Table

Model

Power Tier Behavior Input Form Factor Recommended Use
G1482-0600WNA Entry High-Capacity Compute + Cache Blend AC/DC 54.5V CRPS-185

Edge storage + SD-WAN

G1482-0920WNA

Mid More burst + drive pools AC/DC 54.5V CRPS-185 Heavier cache, multi-radio
G1482-1300WNA High Dense storage + inference AC/DC 54.5V CRPS-185

POP cloud clusters

G1482-1600WNA

Peak High-end compute & routing AC/DC 54.5V CRPS-185 AI + multi-tenant edge
G1482-2000WNA Extreme Maximum power envelope AC/DC 54.5V CRPS-185 Heavy POP / DC rollout

Deployment Scenarios

The G1482-1300WNA is the high-capacity class of the G1482 platform, designed for dense VPN routing, large SD-WAN clusters, inference-augmented edge servers, NVMe-heavy storage nodes, and distributed POP workloads requiring substantial power headroom. It supports multi-drive RAID, concurrent data-plane encryption, 100G uplinks, multi-radio 5G/Wi-Fi access, and container-dense virtualization where sustained duty cycles are expected. This tier is selected when 600W or 920W models approach operational headroom, or when deployment planning anticipates future component scaling.

 

Scenario

Workload Pattern Why 1300W Fits
Large POP gateway DPI + multi-uplink

Prevents voltage sag under concurrency

NVMe/RAID cluster

High flush pattern Sustains I/O bandwidth without ripple
AI edge cloud Model execution

Supports moderate inference scaling

Metro surveillance

Many AP/camera feeds Power cushion for PoE surges
Virtualization hub Multi-tenant pods

Stable during VM migration

Inter-city backbone node

24/7 duty Designed for continuous operation

Power Architecture & Reliability Design

The G1482-1300WNA integrates a reinforced 54.5V-to-12V power conversion path combined with enhanced thermal distribution, designed for high-throughput routing, cache concurrency, inference bursts, and RAID-intensive write operations where ripple control is critical. It targets edge and aggregation platforms that require sustained current delivery while preserving voltage stability across mixed service layers.

 

Its power stages are optimized to maintain rail integrity under concurrent network processing, compute execution, and storage activity, reducing the instability or jitter that can appear when multiple workloads stack simultaneously. Controlled ripple behavior helps protect NIC throughput, SSD response, and accelerator consistency during encryption events, NVMe caching cycles, and moderate inference workloads running in parallel.

 

The overall architecture is well suited for metro networks, POP edge clusters, surveillance aggregation systems, and SD-WAN or AI hybrid platforms where scalability must be balanced with operational predictability. Thermal mapping aligns with telecom cabinet airflow patterns, supporting long 24/7 service cycles with minimal intervention. With telemetry readiness where configured and controlled inrush behavior for parallel rack deployment, the G1482-1300WNA delivers reliable performance for dense edge infrastructure that prioritizes uptime and lifecycle stability.

Power Operating Notes

Reference Condition

Suggested Guidance
Large SD-WAN/SASE pods

Preserve airflow paths

High-drive RAID groups

Monitor write-time heat
AI inference environments

Fits medium-scale models

Aggregation POP

Low-maintenance runtime
Surveillance deployment

Support for large channel count

Virtualized clusters

Keep 20–30% growth room
Telecom cabinet use

Dust control extends life

Lifecycle operation

Enable PMBus supervision

FAQ

Q1. Who should choose the 1300W tier?
Operators building POP cloud clusters, dense routing nodes, or RAID/inference appliances.

 

Q2. Continuous runtime support?
Yes — intended for long-cycle operator workloads.

 

Q3. Upgrade benefit vs 920W?
Extra margin for IO concurrency, storage scale, and PoE density.

 

Q4. Does burst load affect stability?
Ripple remains controlled under combined compute + flush events.

 

Q5. Suitable for 100G multi-uplink chaining?
Yes — headroom helps handle bandwidth surge aggregation.

 

Q6. Fit for AI-lite core processing?
Good match for model execution and inference scheduling.

 

Q7. Cabinet deployment?
Thermal layout optimized for compact flow-direction systems.

 

Q8. When to move to 1600W or 2000W?
If planning multi-accelerator, HPC, or extremely large storage pools.

 

 

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