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