G1401-2200WNA – 2200W CRPS Power Supply for GPU Servers, Scalable Cloud Platforms, and High-Throughput Compute Systems

The G1401-2200WNA is a 2200W CRPS power supply engineered for GPU server platforms, scalable cloud infrastructures, and high-throughput compute systems that require reliable, high-density power delivery. Its 1U CRPS-standard form factor (185 × 73.5 × 40 mm) allows seamless integration into compact, performance-driven environments. This AC/DC unit delivers a regulated 12V output rated at 183.3A together with a 12V standby rail at 2.1A, supporting accelerators, processors, memory subsystems, and system management components. The wide input range of 90–264Vac / 180–300Vdc ensures global deployment flexibility across diverse electrical conditions. Digital power regulation combined with PMBus 1.2 communication enables real-time telemetry, remote adjustments, and accurate monitoring of system power behavior. Its high-efficiency operation helps maintain stable temperatures during intensive workloads, improving long-term reliability. An adaptive cooling system automatically adjusts fan behavior based on thermal demand, ensuring effective heat dissipation while keeping noise output low. Optional reverse-airflow support allows integration into various rack cooling orientations, from traditional data centers to space-restricted compute clusters.

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): 2200
Length (mm): 185
Width (mm): 73.5
Height (mm): 40
Mounting Type: Hot pluggable
Minimum Output Current (A): 0
Maximum Output Current (A): 183.3
Output Voltage (V): 12
Minimum Output Power (W): 0
Maximum Output Power (W): 2200
Minimum Input Voltage (V): 90
Maximum Input Voltage (V): 264

Model Selection Comparison Table

Model

Power Tier Behavior PMBus Form Factor Recommended Use
G1401-2000WNA Entry high-density Compute/storage clusters Yes CRPS

Virtualization / distributed workloads

G1401-2200WNA

Higher power class Concurrency heavy analytics Yes CRPS

DB / inference scaling

Deployment Scenarios

G1401-2200WNA is the higher-capacity performance tier within the G1401 CRPS platform, designed for environments where distributed compute, analytics indexing, inference serving and cloud-native workloads generate sustained upper-mid utilization ranges beyond what 2000W comfortably covers. This watt class fits deployments where VM concurrency scales, replication windows lengthen, GPU-assisted tasks become routine and data ingestion layers operate continuously throughout the day.

 

It is frequently adopted in data analytics nodes, inference routing fabrics, large database engines, media transformation clusters, content distribution workloads, hybrid multi-service compute networks, and enterprise-scale virtualization pools. With additional headroom to mitigate load spikes, G1401-2200WNA offers longer performance runway before power ceilings appear, reducing the urgency for immediate multi-PSU parallel introduction.

 

Scenario

Workload Behavior Why 2200W Fits
AI inference routing Burst + long runtime

Higher transient buffer

DB/transaction engines

Write-intensive replication Ripple integrity preserved
Analytics & indexing Continuous cycles

Stable discharge under load

VM and container fabrics

Multi-tenant concurrency Sustained power headroom
Media processing Encode + transform

Predictable heat slope

Scaled compute nodes

High utilization

Future growth tolerance

Power Architecture & Reliability Design

The G1401-2200WNA extends the electrical envelope beyond the 2000W tier to support heavier inference loads, parallel analytics, and blended compute–storage operations without rail degradation at elevated duty levels. Its transient response is tuned for fast recovery when inference batches, container expansion, and database commit phases overlap, while efficiency optimization helps limit thermal overhead during extended high-utilization cycles.

 

Thermal management is reinforced through widened airflow geometry that stabilizes heat distribution across capacitor banks and magnetic cores, slowing electrolyte fatigue in clusters operating near ambient upper bounds. Spread-spectrum EMI control reduces interference risk in dense interconnect fabrics, preserving signal integrity for high-speed networking and accelerator links as node density increases.

 

PMBus telemetry delivers multi-metric health visibility, including ripple drift, temperature rise slope, fan curve evolution, and accumulated fault patterns. Positioned as the upper tier of the G1401 family, the 2200W model is recommended for deployments where 2000W configurations approach saturation or where workload growth forecasts require additional headroom without immediate transition to higher-wattage platforms.

Power Operating Notes

Reference Condition

Suggested Guidance
Analytics-heavy clusters

Maintain cold aisle efficiency

Inference/AI workloads

Keep sustained duty <90% where possible
DB transaction layers

Review ripple trend periodically

Virtualization scaling

Monitor PMBus event logs monthly
Storage/Rep-sync

Ensure stable airflow path

Continuous HPC

Dust maintenance extends fan life
Edge-to-core deployment

Check thermal slope during peak hours

Capacity projection

Step to multi-rail or larger platform if growth accelerates

FAQ

Q1. When is G1401-2200WNA preferred over 2000W?
When concurrency, inference or replication intensity exceeds mid-high sustained load.

 

Q2. How does it behave under multi-service container orchestration?
Stable transient control and ripple discipline maintain predictable application latency.

 

Q3. Support remote telemetry?
PMBus fully supported for runtime insight.

 

Q4. 24/7 operation suitability?
Engineered for long-run continuous deployment with thermal stability.

 

Q5. AI inference performance?
Handles inference routing and scaled service load comfortably.

 

Q6. Rack density profile?
Predictable thermal gradient makes it density-friendly.

 

Q7. Redundancy compatibility?
Runs within CRPS hot-swap, N+1 rack design.

 

Q8. Next step beyond 2200W?
Future expansion may shift toward parallel PSU configuration or next power platform.

 

 

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