G1169-1100WNA – 1100W CRPS Power Supply for GPU Nodes, Cloud Servers, and Modular Data Systems
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): | 1100 |
| Length (mm): | 195 |
| Width (mm): | 80 |
| Height (mm): | 40 |
| Mounting Type: | Hot pluggable |
| Minimum Output Current (A): | 0 |
| Maximum Output Current (A): | 91.6 |
| Output Voltage (V): | 12 |
| Minimum Output Power (W): | 0 |
| Maximum Output Power (W): | 1100 |
| 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
G1169-1100WNA marks the transition from mid-range to performance-class capacity inside the G1169 CRPS family, used when compute demand becomes sustained rather than occasional. It supports small to mid clusters with heavier memory footprints, database workloads, medium GPU inference cards, multi-tenant virtual environments and service stacks running analytics or indexing tasks continuously. While the 750W variant focuses on burst-tolerance, the 1100W tier introduces true continuous load authority—the PSU remains stable even when turbo cycles repeat in close succession.
This model is often deployed in regional cloud POPs, enterprise business servers, mid-size Kubernetes clusters, ML gateway inference nodes, and data-centric storage compute where higher I/O + CPU utilization converge. It helps IT teams avoid premature PSU scaling, extending deployment horizon before moving into 1600W class. In environments where node uptime directly influences SLA guarantees, the 1100W tier holds voltage rails with minimal ripple even under thermal saturation scenarios.
|
Scenario |
Workload Characteristic | Why 1100W Fits |
| Multi-tenant VM hosts | High sustained CPU |
Continuous draw stability |
|
ML inference / gateway |
Mid GPU load | Headroom for burst & steady load |
| Elastic storage clusters | Rebuild & indexing |
Handles long-duration stress |
|
Data POP compute |
Mixed service pools |
Avoids brownouts in peak windows |
|
DB/OLTP nodes |
I/O heavy runtimes | Low ripple maintains integrity |
| Analytics indexing | Long batch processes |
Thermal margin under constant work |
Power Architecture & Reliability Design
With significantly greater continuous rail strength compared to 750W, the 1100W tier is built for real world compute saturation rather than short-term peak handling. The LLC resonant stage is tuned for reduced switching loss under 60–100% loading brackets, retaining low ripple output during parallel processing and long batch execution. Its current-sharing loop reacts predictably in N+1 racks even when thermal stress rises, and synchronous rectification ensures conversion efficiency does not plunge under harness.
Component spacing, airflow channeling and heat-dissipation geometry help capacitors maintain service integrity over multi-year runtimes. Under PMBus monitoring, early indicators like fan duty change, thermal differential slope or output ripple drift provide signals before system-wide downtime occurs. This makes 1100W an ideal long-term investment for infrastructure operating at steady high utilization, postponing scale-up to 1600W until workloads truly demand it.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| Sustained CPU/GPU workloads |
Reserve airflow front to rear for thermal efficiency |
|
Clustered deployments |
Enable PMBus polling for lifecycle trending |
| Node rebuild or indexing |
Watch PSU intake temp to maintain ripple margin |
|
N+1 balancing |
Prefer identical batch units for optimized current share |
| Storage analytics / DB |
Maintain stable rack intake below 35°C |
|
Continuous >70% load |
Check fan curve monthly for drift |
| Regional POP edge |
Dust filter hygiene = lifetime multiplier |
|
Upgrade planning |
1100W defers need to move to 1600W tier |
FAQ
Q1. When should I choose G1169-1100WNA over 750W?
When workloads shift from occasional bursts to sustained high utilization or continuous compute cycles.
Q2. Can it support GPU loads?
Yes—suited for medium inference cards or ML gateway accelerators.
Q3. PMBus monitoring included?Yes—voltage, ripple, fan RPM, intake/exhaust temperature, lifecycle data.
Q4. Designed for 24/7?
Built with component margin for constant rack service environments.
Q5. Redundancy advice?
Use matching units in N+1 pools for balanced current participation.
Q6. Replacement cycle expectation?
Designed for multi-year continuous operation if airflow is stable.
Q7. Noise profile?
Fans maintain controlled curves but scale predictably under >70% load.
Q8. Scaling roadmap?
Future growth can transition smoothly into G1169-1600WNA if required.