G1317-0920WNA – 920W CRPS Power Supply for Edge Servers, IoT Gateways, and Compact Data Systems
The G1317-0920WNA is a 920W AC/DC CRPS module engineered for edge servers, IoT gateways, compact data systems, and distributed computing environments. Built in a 1U CRPS-standard enclosure (185 × 73.5 × 40 mm), it supports high-density architectures where space efficiency and stable power delivery are essential. Delivering a main output of 54.5V and a standby 12V rail, the unit provides 16.8A on the primary channel and 3A on the standby output. Designed for systems running on +48Vdc input, it ensures consistent performance across telecom cabinets, remote compute nodes, and industrial edge deployments. With PMBus 1.2 support, the G1317-0920WNA enables real-time power monitoring, precise control, and remote diagnostics—critical for environments that demand continuous visibility and autonomous system management. Its Gold-level efficiency contributes to lower thermal output and improved operational reliability in constrained or unmanned locations. A smart cooling design adjusts fan behavior according to thermal load, keeping noise controlled while maintaining effective heat dissipation. For additional flexibility, the module offers a reverse-airflow configuration to suit front-to-back or back-to-front cooling paths common in compact 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): | 920 |
| Length (mm): | 185 |
| Width (mm): | 73.5 |
| Height (mm): | 40 |
| Mounting Type: | Hot pluggable |
| Minimum Output Current (A): | 0 |
| Maximum Output Current (A): | 16.8 |
| Output Voltage (V): | 54.5 |
| Minimum Output Power (W): | 0 |
| Maximum Output Power (W): | 920 |
| 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 |
| 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 G1317-0920WNA positions itself as the mid-upper tier of the G1317 family, delivering 920W continuous output for compute environments that exceed the comfort zone of 600W but do not yet require the heavy overhead of 1200W or higher tiers. It is well-suited for virtualization clusters, cache nodes, mid-density edge inference servers, and mixed storage workloads where both CPU and occasional GPU bursts must remain stable under long uptime operation. With an improved watt margin and enhanced transient capability, this model supports multi-container concurrency, small-to-medium AI inference batches, SSD/NVMe expandability, and office-regional POP workloads, keeping systems responsive even when utilization peaks periodically.
|
Scenario |
Expected Load Pattern | Why 920W Tier Fits |
| Virtualization clusters | Multiple VMs with active services |
More headroom than 600W tier |
|
Hybrid storage servers |
Frequent I/O commitment | Stable during rebuild cycles |
| Edge AI inference | Periodic GPU acceleration |
Handles moderate compute peaks |
|
POP data nodes |
Mixed flows + routing | Lower throttling risk in bursts |
| Enterprise micro-cloud | Multi-tenant workloads |
Sustains higher concurrency |
|
Database & caching layers |
Busy write/read cycles |
Ripple suppression protects data flow |
Power Architecture & Reliability Design
The G1317-0920WNA builds on the 600W platform with increased conversion capacity and wider transient absorption, delivering smoother voltage behavior during active I/O synchronization, cache flush operations, and moderate GPU inference events. Its power architecture is tuned to handle mixed workload dynamics without introducing rail fluctuation, making it suitable for environments where utilization shifts frequently but predictability remains essential.
Thermal structure is engineered to maintain gradual and stable temperature gradients, avoiding aggressive fan ramping even under sustained load. Component selection emphasizes long-term reliability under the burst patterns common to virtualization clusters, data caching tiers, migrating workloads, and hybrid application stacks. Tight ripple control and multi-phase regulation help protect PCIe lanes and NVMe fabrics during heavy commit sequences, preserving I/O integrity under pressure.
PMBus telemetry provides visibility into thermal drift, load behavior, and output regulation trends, supporting predictive maintenance across large-scale deployments. With controlled acoustics, predictable thermal response, and stable electrical performance, the G1317-0920WNA is well suited for edge cloud nodes and VM-centric infrastructures that require extended uptime windows and consistent fleet-level behavior.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| Multi-VM orchestration |
Reserve watt margin for scaling |
|
Storage cache nodes |
Airflow must remain unobstructed |
| GPU-light inference |
Stable during periodic peaks |
|
Hybrid file systems |
Expect smooth rebuild power draw |
| POP micro-DCs |
Monitor PMBus quarterly |
|
Concurrency expansion |
Scale horizontally for cost efficiency |
| I/O bursts |
Ripple suppression benefits SSD lifespan |
|
High ambient racks |
Dust maintenance extends thermal health |
FAQ
Q1. Where is 920W best deployed?
Hybrid storage, POP nodes, multi-tenant VM clusters, moderate inference servers.
Q2. Can it sustain continuous load?
Yes, designed for 24/7 stability in virtualized workflows.
Q3. Difference from 600W?
More headroom and transient tolerance for I/O and burst workloads.
Q4. Redundancy support?
Compatible with N+1 deployment structures.
Q5. Suitable for light GPU inferencing?
Handles batch tasks without large voltage deviation.
Q6. Works well in edge micro clouds?
Long-term stability suits distributed infrastructure.
Q7. Recommended airflow note?
Maintain fan channel clearance for thermal consistency.
Q8. When to upgrade to 1200W?
When inference or I/O demand becomes sustained rather than periodic.