G1184-2000WNA–2000W CRPS Power Supply for AI Training Nodes, Cloud Storage, and Distributed Compute Systems
Features
CRPS-195: 195×73.5x40mm (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): | 2000 |
| Length (mm): | 195 |
| Width (mm): | 73.5 |
| Height (mm): | 40 |
| Mounting Type: | Hot pluggable |
| Minimum Output Current (A): | 0 |
| Maximum Output Current (A): | 166.6 |
| Output Voltage (V): | 12 |
| Minimum Output Power (W): | 0 |
| Maximum Output Power (W): | 2000 |
| Minimum Input Voltage (V): | 90 |
| Maximum Input Voltage (V): | 264 |
Model Selection Comparison Table
|
Model |
Power Tier | Operating Behavior | PMBus | Form Factor | Recommended Use |
| G1184-2000WNA | Performance mid-high | Reliable continuous compute ceiling | Yes | CRPS |
POP clusters / inference / storage |
| Performance high tier | Additional GPU + workload headroom | Yes | CRPS |
HPC edge / dense scaling |
Deployment Scenarios
As the performance-balanced tier of the G1184 platform, G1184-2000WNA targets compute environments where sustained multi-thread utilization, high I/O activity, and cluster-level scaling are part of everyday load behavior. It serves as an ideal foundation for mid-to-large virtualization hosts, distributed POP compute nodes, AI inference gateways, storage clusters, and container fabrics running orchestration workloads. Compared to lower power families, the 2000W tier maintains rail strength even when CPU, memory, and network pipelines remain simultaneously active for long periods.
This model also fits enterprise workloads that combine database queries, real-time analytics, streaming ingestion, multi-user concurrency, and image compute tasks, especially when infrastructure must operate 24/7. For IT teams looking to avoid early PSU replacement when services scale gradually, 2000W provides an operational sweet spot—strong power ceiling without stepping directly into full high-density domains. In N+1 environments, the unit participates predictably in current sharing, supporting stable recovery during node failure switchover.
|
Scenario |
Workload Profile | Why 2000W Fits |
| Virtualization clusters | Multi-VM sustained |
Strong continuous rail output |
|
POP / Edge DC nodes |
Mixed memory + compute | Balances power and headroom |
| AI inference gateways | Medium GPU engagement |
Reliable burst-to-steady transfer |
|
Storage + indexing units |
Rebuild + scrub heavy | Maintains ripple control |
| Analytics + streaming | Constant data flow |
Thermal margin under load |
|
Growing infrastructure |
Long-life deployment |
Avoids premature PSU upgrade |
Power Architecture & Reliability Design
Designed for high-availability compute, the 2000W architecture focuses on sustaining high current delivery across long compute windows rather than merely absorbing short power bursts. With optimized conduction paths, the PSU reduces switching loss inside its main power stage, and maintains rail quality even during I/O-intensive rebuilds or when VM density approaches scaling limits. Ripple suppression ensures signal stability during data-intensive traffic, maintaining application responsiveness and avoiding clock throttling under thermal saturation.
Airflow channels are structured to minimize turbulence when positioned in dense rack patterns, extending component longevity through predictable thermal distribution. Under PMBus telemetry, operators can observe long-term behavior trends—temperature ramp patterns, fan duty cycles, ripple shifts, lifetime indicators—supporting predictive maintenance before service degradation. For infrastructure operating under 24/7 demand, the 2000W tier delivers sustainable electrical performance with an efficiency curve that remains stable under consistent load, safeguarding uptime on critical workloads.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| Sustained VM + storage load |
Ensure clear cold aisle intake for ripple margin |
|
AI inference gateway |
Monitor PMBus thermal delta during traffic bursts |
| Streaming + analytics |
Watch fan duty for long batch execution cycles |
|
N+1 redundancy plan |
Matching model pairs recommended |
| POP edge compute |
Clean dust filters to retain thermal efficiency |
|
>70% continuous utilization |
Monthly telemetry logging advised |
| Database + rebuild |
Intake <35°C ideal for rail integrity |
|
Scaling roadmap |
2000W delays upgrade need to 2200W |
FAQ
Q1. Typical workloads for G1184-2000WNA?
Virtualization hosts, analytics clusters, inference gateways, storage and indexing workloads, POP compute nodes.
Q2. Benefit vs smaller tiers?
Stronger sustained power capacity with stable ripple profile under long-duration loads.
Q3. PMBus support available?
Fully supported—voltage, fan curve, temperature, ripple, alarm states.
Q4. Suitable for 24/7 racks?
Yes—designed for always-on environments and continuous workloads.
Q5. GPU use case suitability?
Handles medium GPU or inference tasks with controlled ramping behavior.
Q6. Redundancy suggestion?
N+1 deployment recommended for load sharing and failure resilience.
Q7. Lifecycle management tips?
Monitor fan RPM slope and temperature deltas to anticipate wear.
Q8. Future upgrade path?
If workloads grow into HPC or multi-GPU density, G1184-2200WNA becomes the logical next tier.