G1116-1200WNA – 1200W CRPS Power Supply for Carrier-Grade Networking, Telecom Edge, and Compact Data Systems
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 |
| G1116-0600WNA | Entry | Enterprise & network compute | AC/DC | CRPS-185 |
General server roles and branch workloads |
| Mid | Heavier virtualization & caching | AC/DC | CRPS-185 | Moderate I/O and multi-VM tasks | |
| G1116-1200WNA | High | GPU-assisted or dense compute | AC/DC | CRPS-185 |
Inference & intensive concurrency |
| Extreme | HPC or multi-accelerator nodes | AC/DC | CRPS-185 | Dense compute and AI workloads | |
| G1116-2000WNA | Peak | Continuous heavy duty | AC/DC | CRPS-185 |
Large-scale cluster/AI backbones |
Deployment Scenarios
The G1116-1200WNA steps into the high-power category of the G1116 series, delivering 1200W continuous output for workloads that extend beyond standard virtual machine density and move toward GPU-participating compute or heavy storage synchronization. This tier is ideal for regional compute clusters, inference-assisted application servers, SDS/NVMe arrays, CDN mid-layer nodes, and office datacenter expansions where power demand is elevated and burst behavior may be frequent. Compared to 0900W, the 1200W model offers greater resilience under parallel VM scaling, cache rebuild operations, and AI pre-processing, maintaining output stability when demand surges occur across containers and services simultaneously.
|
Scenario |
Expected Load Pattern | Why 1200W Tier Fits |
| AI-augmented compute | Light to moderate GPU draw |
Sustains mixed CPU+GPU inference |
|
Large VM clusters |
Dense multi-tenant scheduling | Withstands concurrency spikes |
| SDS / NVMe storage | Heavy read/write cadence |
Stable during rebuild waves |
|
CDN & traffic POP |
High user churn | Extra headroom prevents sag |
| Batch computing | Extended processing |
Predictable heat load handling |
|
Analytics gateways |
Indexing + caching |
Protects I/O integrity under load |
Power Architecture & Reliability Design
The G1116-1200WNA adopts a reinforced power conversion architecture designed to preserve output quality during I/O surge cycles, inference trigger events, and batched virtual machine orchestration. Its electrical regulation remains stable as storage, compute, and network demands overlap, allowing the system to absorb short-term spikes without rail distortion or recovery delay.
Ripple suppression and EMI filtering protect data paths during NVMe flush operations, replication storms, and caching activity, helping maintain predictable behavior across PCIe and storage fabrics. Thermal zoning is structured to distribute heat evenly during multi-hour sustained workloads, reducing temperature cycling stress and supporting reliable operation under continuous duty.
This design targets regional workloads deployed in POP racks and mid-sized data centers where cooling conditions may vary but uptime expectations remain high. PMBus monitoring provides visibility into thermal drift, fan response, and load evolution over time, enabling planned lifecycle replacement and proactive maintenance across fleet-scale deployments. As a result, the G1116-1200WNA offers a balanced step up in concurrency handling and long-run stability within the G1116 platform.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| VM scaling |
Maintain reserve for overhead |
|
Inference participation |
Airflow planning recommended |
| SDS rebuild events |
Stable rails during heavy bursts |
|
Distributed POPs |
Monitor PMBus per quarter |
| Long encoding sessions |
Fans maintain gradual ramps |
|
Multi-hour workloads |
Dust control extends lifespan |
| Compute scaling |
Supports horizontal & vertical |
|
Hybrid pipelines |
Good for mixed IO+compute |
FAQ
Q1. Where is G1116-1200WNA most suitable?
Mid-to-large VM clusters, inference nodes, NVMe storage workloads.
Q2. Is 24/7 heavy utilization supported?
Yes — conversion stage is built for prolonged duty.
Q3. Main difference vs 0900W?
More watt overhead for GPU involvement and scaling events.
Q4. Redundancy support?
Compatible with N+1, hot standby and rolling swap.
Q5. Best for SDS rebuild tasks?
Stable even under parity and cache surge windows.
Q6. Used in POP compute tiers?
Reliable for CDN layers with user churn waves.
Q7. Architecture note to consider?
Plan intake clearance for peak thermal events.
Q8. When to move to 1600W?
When GPU usage becomes regular or VM count pushes sustained load.