G1317-1200WNA – 1200W CRPS Power Supply for Telecom Servers, Edge Computing Nodes, and Distributed Network Equipment

The G1317-1200WNA is a 1200W AC/DC CRPS power module designed for telecom servers, edge computing nodes, and distributed network equipment operating in high-density or space-limited environments. Its compact 1U CRPS-standard form factor (185 × 73.5 × 40 mm) ensures easy integration into modern modular architectures.This model provides a main 54.5V output at 22A along with a 12V standby rail supplying 3A, offering stable and efficient power for POE-driven systems, network processors, and compute hardware at the edge. Designed for infrastructures using a +48Vdc input, it delivers consistent performance across telecom racks, carrier-grade installations, and outdoor/remote nodes. Equipped with PMBus 1.2, the G1317-1200WNA enables detailed telemetry, remote configuration, and automated power optimization. Its high-efficiency design minimizes energy loss and reduces heat generation, improving long-term reliability in tightly packed enclosures. Adaptive fan control ensures efficient thermal management with reduced noise levels, while a reverse-airflow option allows compatibility with diverse cooling layouts used in edge and telecom deployments.

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

Data Centers

5G Base Stations

IoT Gateways

Approvals

UL/CUL

CB

TUV/Mark

CCC/CQC

FCC

CE

Specifications

Output Power (W): 1200
Length (mm): 185
Width (mm): 73.5
Height (mm): 40
Mounting Type: Hot pluggable
Minimum Output Current (A): 0
Maximum Output Current (A): 22
Output Voltage (V): 54.5
Minimum Output Power (W): 0
Maximum Output Power (W): 1200
Minimum Input Voltage (V): 90
Maximum Input Voltage (V): 264

Model Selection Comparison Table

Model

Power Class Use Role Input Form Factor Recommended Use
G1317-0600WNA Mid-range Edge servers & VM compute AC/DC CRPS-185

Balanced virtualization + light inference

G1317-0920WNA

Upper-mid Heavier I/O workloads AC/DC CRPS-185 Storage-centric hybrid compute
G1317-1200WNA High GPU-assisted compute AC/DC CRPS-185

AI-augmented deployment

G1317-1600WNA

Extreme Dense clustering AC/DC CRPS-185

Heavy AI and high concurrency

Deployment Scenarios

The G1317-1200WNA is the high-power variant of the G1317 family, delivering 1200W continuous output for deployments where CPU resources operate at high concurrency and GPU acceleration is frequently involved in inference or pre-processing tasks. This capacity tier is ideal for AI inference gateways, mid-range GPU servers, SDS clusters, media processing, multi-tenant virtualization, and regional compute expansion where workloads rise above what 920W can comfortably sustain long-term. With stronger transient handling and wider thermal headroom, the 1200W tier keeps performance stable during real-time model execution, NVMe caching bursts, data aggregation, and traffic-spike scenarios, preventing throttling under peak conditions.

 

Scenario

Expected Load Pattern Why 1200W Tier Fits
AI gateway servers Frequent GPU inference

Strong burst absorption & runtime stability

VM & container clusters

High concurrency Headroom for multi-tenant scaling
Software-defined storage Heavy I/O & rebuild load

Maintains integrity during commit spikes

Regional POP compute

Mixed traffic surges Reduced risk of rail collapse
Media encoding/transcoding Sustained compute

Thermal margin slows component fatigue

Edge analytics GPU nodes

Partial acceleration

Enhanced load handling vs 920W model

Power Architecture & Reliability Design

The G1317-1200WNA employs an enhanced multi-phase power topology with improved transient recovery, delivering stable 12V output during GPU-accelerated pipelines, caching bursts, and concurrent I/O activity. Its electrical design is optimized to absorb short-term load spikes without rail distortion, supporting inference execution, analytics workloads, and storage commit operations where voltage precision directly affects latency and throughput.

 

Thermal management is structured around balanced component zoning and controlled airflow paths, reducing localized hotspot pressure even during prolonged compute saturation. Ripple suppression and EMI control protect sensitive PCIe and NVMe fabrics, helping maintain clean signal behavior during storage flush cycles, inference graph input loads, and mixed virtualization traffic that stress both compute and I/O subsystems.

 

The PSU maintains high efficiency across the duty cycles typical of edge AI deployments, POP resource pools, and hybrid cloud fabrics. Integrated PMBus telemetry enables long-term observation of thermal drift, fan scaling behavior, and load response trends, supporting predictive maintenance strategies in large server fleets. As the upper tier of the G1317 series, the G1317-1200WNA is well suited for environments that require sustained compute capability with predictable electrical and thermal behavior over extended service windows.

Power Operating Notes

Reference Condition

Suggested Guidance
GPU inference workloads

Reserve 10–20% headroom for spikes

Multi-tenant VM clusters

Monitor PMBus trends quarterly
NVMe-heavy I/O

Expect stable voltage during rebuilds

Edge POP deployments

Maintain frontal airflow clearance
Long session compute

Component aging remains gradual

Regional CDN nodes

Fan curves scale predictably
Micro-cloud growth

Horizontal + vertical scaling capable

AI preprocessing roles

Handles mixed CPU/GPU states smoothly

FAQ

Q1. Best deployment use cases?
AI inference nodes, virtualized clusters, SDS storage, high-concurrency edge compute.

 

Q2. Can it operate continuously at high utilization?
Yes, thermal design supports sustained compute sessions.

 

Q3. Key difference from 0920W?
Higher watt margin for GPU or dense multi-container workloads.

 

Q4. Does it support redundancy operation?
Compatible with N+1 and failover architectures.

 

Q5. Suitable for POP or CDN nodes?
Yes, supports consistent response under traffic waves.

 

Q6. How does it respond to burst acceleration?
Fast transient handling minimizes voltage droop and jitter.

 

Q7. Storage workload readiness?
Stable during rebuilds and cache flush peaks.

 

Q8. When to upgrade to 1600W?
When GPU draw or cluster density becomes sustained instead of periodic.

 

 

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