G1169-1600WNA – 1600W CRPS Power Supply for AI Accelerators, High-Density Racks, and Cloud Infrastructure
The G1169-1600WNA is a 1600W CRPS power supply built for advanced computing environments, including AI accelerator platforms, high-density server racks, and cloud-scale infrastructure. Its 1U CRPS-standard form factor (195 × 80 × 40 mm) enables seamless integration into compact and scalable systems.This power module delivers a 12V output rated at 133.3A along with a 12V standby output at 3A, ensuring stable performance for GPUs, CPUs, storage controllers, and auxiliary subsystems. The universal input voltage range of 90–264Vac / 180–300Vdc supports global deployment and flexible power sourcing.Equipped with digital control and PMBus 1.2 support, the G1169-1600WNA provides real-time telemetry, remote diagnostics, and integration into smart power orchestration frameworks. Platinum-grade efficiency enhances system-wide energy utilization and long-term operating reliability. Adaptive fan control helps maintain thermal balance while keeping acoustic noise at a minimum. A reverse-airflow version is available for alternative cooling paths, making it suitable for both conventional and inverted rack
Features
CRPS-195: 195x80x40mm (LxWxH)
Input: 90 to 264Vac,180-300VdC
Hot-plug
Full Digital control
Active Power Factor Correction
Intelligent-thermal Fan Control
N+N N+1 Redundant
Reverse Airflow Option
Applications
Server
Storage
Networking
HPC
AI Data Centers
Cloud Computing
Enterprise IT Systems
Medical Imaging Equipment
Approvals
UL/cUL
CB
TuV-Mark
CCC/CQC
FCC
CE
NOM
BIS
Specifications
| Output Power (W): | 1600 |
| Length (mm): | 195 |
| Width (mm): | 80 |
| Height (mm): | 40 |
| Mounting Type: | Hot pluggable |
| Minimum Output Current (A): | 0 |
| Maximum Output Current (A): | 133.3 |
| Output Voltage (V): | 12 |
| Minimum Output Power (W): | 0 |
| Maximum Output Power (W): | 1600 |
| Minimum Input Voltage (V): | 90 |
| Maximum Input Voltage (V): | 264 |
Model Selection Comparison Table
|
Model |
Power Tier | Output Current Profile | PMBus | Form Factor | Recommended Use |
| G1169-0550WNA | Efficient low-mid range | Stable 12V delivery for light nodes | Yes | CRPS |
Edge nodes / gateways |
| Mid-range balanced | More burst headroom | Yes | CRPS | Small hybrid compute | |
| G1169-1100WNA | High sustained | Denser CPU or storage | Yes | CRPS |
Mid-scale clusters |
| Peak high density | AI inference or core workloads | Yes | CRPS |
Dense compute fields |
Deployment Scenarios
As the performance peak of the G1169 series, G1169-1600WNA is engineered for dense workloads where power demand remains high across long processing windows. Unlike the 1100W tier—which focuses on sustained compute stability—1600W provides deeper current reserves for GPU-accelerated inference, high-frequency microservice scheduling, real-time streaming computation, and multi-socket virtualization clusters. It handles large memory pools, heavy I/O, and continuous parallel tasks without rail droop or clock contraction.
Its preferred use cases include AI gateway nodes, HPC edge compute units, multi-VM hypervisors, deep container stacks with high concurrency, and mixed storage-compute clusters where performance saturation is expected rather than occasional. In environments where scaling translates directly to throughput or SLA, this model ensures the rack avoids power headroom bottlenecks—particularly critical when deploying low-latency inference services at the edge or operating compute pods that use GPUs as general workload accelerators rather than occasional add-ons.
|
Scenario |
Workload Characteristic | Why 1600W Fits |
| GPU inference nodes | High constant current |
Headroom for accelerators |
|
HPC compute clusters |
Parallel sustained loads | Prevents rail constraint |
| Multi-socket hypervisors | Heavy VM density |
Stable continuous draw |
|
Data processing farms |
Storage + CPU intensive | Low ripple at high duty |
| AI gateway service mesh | Rapid burst cycling |
Thermal + capacity margin |
|
Edge supernodes |
Concurrency at scale |
Highest reliability tier |
Power Architecture & Reliability Design
The 1600W configuration extends the G1169 platform into high-density power territory, sustaining elevated current availability even when racks operate under continuous near-peak utilization. The conversion path prioritizes controlled switching timing and minimized conduction loss, preserving voltage discipline under GPU ramp and storage rebuild cycles where current demand often changes rapidly.
Component endurance is maximized through thermal zoning, airflow-assisted capacitor longevity, and ripple suppression that maintains signal stability within multi-rail load maps. Under N+1 redundancy the PSU shares cleanly even at high duty cycle, reducing imbalance heat and extending fan life. With PMBus telemetry, teams can detect early reliability shifts—fan duty deviation, intake vs coil temp spread, or gradual ripple elevation—allowing proactive maintenance instead of reactive failure response.
For organizations scaling inference workloads or running batch pipelines overnight, G1169-1600WNA serves as a power foundation built for endurance rather than temporary growth, ensuring compute remains uninterrupted as processing volume rises.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| GPU / inference cluster |
Maintain cold aisle intake for rail stability |
|
>70% continuous utilization |
Monitor ripple delta via PMBus monthly |
| HPC racks |
Ensure exhaust channel is unobstructed |
|
Storage + compute mixing |
Track fan duty drift as load persists |
| N+1 redundancy |
Use matched batch units for clean sharing |
|
AI gateway surge cycles |
Intake temps <35°C recommended |
| Edge cloud POP |
Dust filtration significantly affects lifetime |
|
High duty scaling |
1600W headroom reduces future PSU swaps |
FAQ
Q1. When should I choose G1169-1600WNA over 1100W?
When workloads are consistently heavy, GPU-assisted, cluster-dense, or power-bound under sustained runtime.
Q2. Suitable for heavy inference cards?
Yes—designed for mid to high GPU duty, depending on card and system integration.
Q3. Does it support PMBus telemetry?
Full monitoring + logging, including voltage, ripple, fan curves, thermal trends, alarms.
Q4. Can it run 24/7?
Built specifically for always-on environments under elevated utilization.
Q5. Ideal redundancy mode?
N+1 recommended for cluster reliability—prefer same-series pairs.
Q6. Rack planning advice?
Ensure thermal paths are stable during high-duty parallel compile or inference runs.
Q7. Acoustic behavior under load?
Fan curves scale predictably—expect higher RPM under sustained compute pressure.
Q8. Scalability recommendations?
For future HPC expansion, this model minimizes early PSU replacement cycles.