G1317-1600WNA – 1600W CRPS Power Supply for Telecom Infrastructure, Edge Computing Clusters, and High-Density Network Platforms

The G1317-1600WNA is a 1600W AC/DC CRPS power supply engineered for telecom infrastructure, edge computing clusters, and high-density network platforms that require stable, efficient, and compact power delivery. Its 1U CRPS-standard chassis (185 × 73.5 × 40 mm) enables seamless integration into modern networking and distributed compute systems. This unit provides a 54.5V main output at 29.35A, complemented by a 12V standby output rated at 3A for auxiliary and control circuitry. Designed to operate from a +48Vdc input, it is ideal for telecom base stations, POE-driven environments, remote compute nodes, and enterprise network appliances. With PMBus 1.2 support, the G1317-1600WNA offers advanced telemetry, health reporting, and remote power management features—critical for distributed or unmanned installations. Its high-efficiency design reduces thermal stress and improves long-term system reliability. Optimized cooling is achieved through intelligent fan control, while a reverse-airflow option ensures compatibility with varied system cooling orientations, making the unit adaptable to dense rack deployments and edge enclosures.

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): 1600
Length (mm): 185
Width (mm): 73.5
Height (mm): 40
Mounting Type: Hot pluggable
Minimum Output Current (A): 0
Maximum Output Current (A): 29.35
Output Voltage (V): 54.5
Minimum Output Power (W): 0
Maximum Output Power (W): 1600
Minimum Input Voltage (V): 90
Maximum Input Voltage (V): 264

Model Selection Comparison Table

Modela

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 G1317-1600WNA represents the top performance class within the G1317 family, offering 1600W continuous output for dense compute environments where CPU and GPU utilization remain consistently high and workload volatility is common. This watt tier is well suited for edge AI clusters, multi-GPU analytics servers, CDN/POP nodes, NVMe-rich storage backbones, and virtualization fabrics with high concurrency requirements. Compared to the 1200W model, the 1600W tier provides broader stability under simultaneous inference jobs, large container orchestration, parallel caching, and heavy data replication, maintaining system responsiveness where lower watt units might throttle or enter thermal recovery sooner.

 

Scenario

Expected Load Pattern Why 1600W Tier Fits
Dense virtualization clusters High simultaneous tenants

Strong capacity for peak overlap

Multi-GPU edge units

Frequent inference/load bursts Prevents rail dip in parallel processing
High I/O storage & caching Large commit cycles

Maintains integrity under rebuild stress

POP / CDN compute nodes

Heavy incoming/outgoing traffic Buffer against surge-level draw
Data analytics + ETL Continuous pipeline

Sustains heat & power for long sessions

AI training micro-edge

Mixed CPU+GPU regimes

Long-term duty with stability margin

Power Architecture & Reliability Design

The G1317-1600WNA employs a high-efficiency power conversion topology with reinforced transient responsiveness, designed to support multi-GPU inference pipelines, high-concurrency virtualization, and NVMe-intensive storage operations. Its electrical architecture maintains stable 12V delivery under steep dynamic load changes, ensuring consistent compute behavior during inference spikes, simultaneous virtual machine migrations, and distributed caching activity.

 

Thermal channeling is engineered to preserve airflow effectiveness even in dense rack environments where intake conditions may become restricted over time. Balanced ducting and component placement reduce localized heat buildup, slowing thermal fatigue across multi-year duty cycles and allowing predictable operation during extended high-utilization periods common in always-on compute clusters.

 

Ripple suppression and EMI control protect signal integrity across PCIe and network fabrics, minimizing the risk of throttle-induced latency during large traffic surges or synchronized workload ramps. PMBus reporting provides operational visibility into fan curve evolution, power draw patterns, and thermal profiles, enabling predictive maintenance and fleet-level optimization. As the upper tier of the G1317 platform, the G1317-1600WNA is well suited for environments that demand sustained performance, electrical stability, and long-term reliability under continuous load.

Power Operating Notes

Reference Condition

Suggested Guidance
GPU compute clusters

Maintain thermal clearance for fans

Heavy concurrent VMs

Reserve power margin for orchestration
NVMe caching at scale

Expect stable performance under rebuild

POP / CDN exchange

Telemetry polling recommended monthly
Long sustained training

Heat remains predictable across sessions

Dense rack deployment

Ensure airflow pathway remains clean
Scaling strategy

Supports both horizontal and vertical

Edge AI backbone

Well-suited to 24/7 accelerated duty

FAQ

Q1. Best application environments?
Dense AI edge compute, multi-GPU servers, CDN/POP nodes, large VM clusters.

 

Q2. Suitable for 24/7 full utilization?
Yes — designed for continuous duty at high thermal and electrical load.

 

Q3. Key difference from 1200W?
1600W supports sustained GPU usage and larger concurrency without derating.

 

Q4. Redundancy compatibility?
Fully suitable for N+1 and rolling swap scenarios.

 

Q5. Good for NVMe-heavy systems?
Yes — ripple control maintains I/O signal clarity at high throughput.

 

Q6. Deployment consideration?
Density needs proper airflow planning, especially deep-rack.

 

Q7. Edge inference node suitability?
Handles real-time burst patterns with voltage stability.

 

Q8. When is 1600W preferred over lower tiers?
When workloads remain near continuous high draw or scaling growth is expected.

 

 

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