G1429-1300WNA – 1300W CRPS Power Supply Optimized for High-Density Server and Network Environments

The G1429-1300WNA provides robust 1300W power output in a compact 1U CRPS-standard package (185 x 73.5 x 40 mm), perfectly suited for densely packed server racks, storage arrays, and networking hardware. With a strong 12V current capacity of 108.33A and a 12V standby output of 2.1A, this redundant AC/DC power supply supports a wide voltage input range from 90–264V AC and 180–300V DC, making it ideal for worldwide use in diverse data center conditions. Featuring advanced digital control and PMBus 1.2 interface, the unit allows for precise real-time monitoring and remote management to maintain peak operational efficiency. Active power factor correction (PFC) enhances energy efficiency and ensures steady performance. Intelligent fan control dynamically adjusts cooling performance to reduce noise levels while maintaining optimal temperature. The option for reverse airflow provides system integrators with flexible installation choices. Certified to meet stringent UL, CE, FCC, CB, and CCC standards, the G1429-1300WNA complies with global safety and electromagnetic compatibility regulations, making it a reliable solution for critical infrastructure power needs.

Features

CRPS-185: 185×73.5x40mm(LxWxH)

CRPS-265: 265×73.5x40mm(LxWxH)

Input: 90 to 264Vac,180-300VdC

Hot-plug

Full Digital control

Active Power Factor Correction

Intelligent-thermal Fan Control

N+N N+1 Redundant

Reverse Airflow Option

Applications

Server

Storage

Networking

HPC

Edge Computing

Telecom

AI Training

Industrial Automation

Approvals

UL/cUL

CB

TuV-Mark

CCC/CQC

FCC

CE

NOM

BIS

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): 108.33
Output Voltage (V): 12
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 PMBus Form Factor Recommended Use
G1429-0800WNA Titanium efficiency mid-range Light-to-mid cluster workloads Yes CRPS

Edge compute / analytics

G1429-1300WNA

Titanium high tier Heavier virtualization/inference Yes CRPS

Multi-VM / GPU-assisted nodes

Deployment Scenarios

As the higher-capacity Titanium model in the G1429 platform, G1429-1300WNA is designed for dense multi-service compute clusters, GPU-assisted virtualization, data analytics nodes, edge inference workloads, and medium-weight AI processing. Its 1300W continuous output capacity provides operational margin for environments that experience sustained parallel processing, high memory bandwidth consumption, heavy I/O synchronization, or moderate GPU burst cycles.

 

The model is commonly adopted by enterprise virtualization stacks, distributed AI inference, mini HPC nodes, storage gateways, CDN acceleration, database caching platforms, and backbone coordination servers. Titanium conversion efficiency helps reduce electricity cost and thermal overhead per rack unit, allowing tighter node placement without compromising lifetime.

 

Scenario

Workload Behavior Why 1300W Fits
Medium GPU inference Burst + sustained cycles

Higher load ceiling

Virtualization clusters

Multi-VM parallel tasks Stable under mid-heavy duty
Mini HPC Balanced compute streams

Smooth voltage behavior

Storage gateway

Sync+cache spikes Headroom avoids droop
CDN acceleration High traffic windows

Thermal predictability

Data analytics nodes

CPU/GPU hybrid Margin for expansion

Power Architecture & Reliability Design

G1429-1300WNA applies Titanium-grade switching topology and refined magnetic balance to maintain low conduction loss even under higher sustained loads, enabling data-center operators to scale service density without escalating thermal or cooling budgets. This power class provides stronger voltage stability during GPU-assisted tasks and rapid burst transitions, reducing performance jitter in virtual cluster operations.

 

Extended capacitance layout enhances endurance during high-temperature duty cycles, while optimized airflow geometry spreads heat extraction evenly, extending internal component lifespan. PMBus telemetry enables tracking of supply health indicators such as ripple drift trend, cooling curve behavior, cumulative runtime, and protection events, assisting predictive maintenance planning. G1429-1300WNA is engineered for heavy concurrency where uptime targets exceed routine maintenance cycles.

 

The core architecture leverages Titanium-grade conversion efficiency to reduce operating costs in dense rack environments while maintaining sufficient headroom to absorb GPU bursts and high memory load events. Ripple stabilization ensures voltage consistency during heavy virtualization, and the capacitor layout is designed to withstand prolonged thermal exposure under sustained duty cycles. PMBus monitoring enables predictive replacement by revealing early signs of component wear, while reliable current delivery supports multi-tenant cluster orchestration without performance degradation. Lower heat output improves overall cooling efficiency, making the platform well suited for scale-out AI and compute edge growth.

 

Power Operating Notes

Reference Condition

Suggested Guidance
GPU-assisted inference

Maintain stable intake airflow for thermal margin

Virtualization & clustering

Review PMBus fault logs monthly
Data node caching

Monitor ripple drift during sync bursts

Mini-HPC

Keep inlet <35°C for component stability
Scaling workloads

Balance rail share in N+1 topology

Distributed POP edge

Clean dust intake quarterly
Storage gateway

Fan ramps may indicate capacitor aging

Future expansion

Upgrade PSU only if sustained load >80%

FAQ

Q1. When to choose G1429-1300WNA instead of 800W?
When workloads include GPU-assisted compute, multi-tenant virtualization, or higher sustained traffic.

 

Q2. Does Titanium efficiency matter under high load?
Yes — energy loss remains low even near operational ceiling, reducing cooling cost.

 

Q3. Is PMBus supported for remote telemetry?
Fully supported for health, temperature, fan, and protection reporting.

 

Q4. Uptime suitability?
Built for 24/7 data-center operation with predictive maintenance scheduling.

 

Q5. GPU inference capability?
Suitable for medium AI acceleration, depending on GPU configuration.

 

Q6. Deployment cluster size?
Performs well in scale-out architectures with consistent compute demand.

 

Q7. Hot-swap and N+1 integration?
Compatible within CRPS-based redundancy structures.

 

Q8. If future load increases?
Remain below 80% sustained load for efficiency; otherwise scale PSU capacity.

 

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