G1342-0800WNA – 800W CRPS Power Supply for High-Density Server and Network Infrastructure
Features
CRPS-185: 185×73.5x40mm(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): |
800 |
|
Length (mm): |
185 |
|
Width (mm): |
73.5 |
|
Height (mm): |
40 |
|
Mounting Type: |
Hot pluggable |
|
Minimum Output Current (A): |
0 |
|
Maximum Output Current (A): |
66.66 |
|
Output Voltage (V): |
12 |
|
Minimum Output Power (W): |
0 |
|
Maximum Output Power (W): |
800 |
|
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 |
| G1342-0550WNA | Mid-range stability tier | 12V sustained load profile | Yes | CRPS class |
Storage clusters / multi-node workloads |
| Upper-range high-load tier | 12V heavy load profile | Yes | CRPS class |
Compute-intensive cores & dense I/O nodes |
Deployment Scenarios
The G1342-0800WNA represents the upper-range high-load member of the G1342 series, designed for compute-intensive clusters, dense I/O fabrics and high-traffic environments where watt capacity and sustained peak tolerance directly impact system throughput. Compared with the 0550W tier, this model emphasizes higher current provisioning and headroom for AI inference nodes, multi-GPU compute trays and data-processing workloads that generate non-linear draw patterns throughout the day. Best aligned with high-demand compute workloads, multi-accelerator nodes, edge inference stacks or virtualization clusters operating near continuous upper load. Its watt budget accommodates GPU/FPGA add-ons, high-bandwidth NIC aggregation and complex pipeline jobs without voltage instability during burst states.
|
Scenario |
Typical System Profile | Load Nature | Deployment Notes | Why G1342-0800WNA Fits |
| AI inference servers | Multi-NIC/GPU | Burst + sustained load | Requires watt margin |
Maintains rail during compute spikes |
|
FPGA/ASIC fields |
Accelerator trays | High transient | Thermal overhead needed | Favors heavy switching cycles |
| Dense VM clusters | High consolidation | Mixed burst | Lateral scaling |
Avoids saturation at full occupancy |
|
CDN edge distributors |
Packet streaming | Peak shifts | 24/7 uptime | Consistent delivery under strain |
| Elastic DB farms | Sharded data | Mixed long-run | High I/O peaks |
Stable during compaction loads |
Power Architecture & Reliability Design
The G1342-0800WNA is designed for high-density compute environments where power delivery stability directly affects inference throughput and job reliability. Its regulated 12V rail supports sustained draw in multi-GPU and accelerator-assisted nodes, maintaining voltage consistency as workloads transition rapidly between idle and burst phases. The architecture emphasizes thermal robustness, enabling reliable operation in dense racks, rear-exhaust layouts, and airflow-constrained deployments.
Independent switching stages and carefully tuned transient response improve voltage hold during compute bursts, reducing the risk of throttling or clock instability when multiple accelerators ramp simultaneously. A balanced derating strategy across MOSFETs, inductors, and capacitors mitigates thermal fatigue and electrical aging, supporting long-term deployment under high current density and extended duty cycles without excessive ripple growth or noise escalation.
With ripple stabilization protecting PCIe links and storage paths, the G1342-0800WNA suits accelerator sleds, compute blades, and mid-scale inference racks operating near their power envelope. CRPS hot-swap compatibility and telemetry reporting of power, thermal, and efficiency metrics further support scale-out environments, enabling continuous operation, predictive maintenance, and intelligent resource scheduling in AI inference, analytics, and mission-critical compute workloads.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| Heavy compute racks |
Maintain direct cold-aisle airflow |
|
GPU-attached nodes |
Extra thermal clearance recommended |
| Burst-driven workloads |
Keep voltage margin reserve |
|
Edge AI inference |
Enable telemetry fault tracking |
| Multi-NIC servers |
Consider redundant CRPS pairing |
|
Clustered VM clouds |
Watch for sustained peak intervals |
| Storage-compute hybrid |
Monitor thermal saturation trends |
|
Remote POP sites |
Add scheduled dust-clean intervals |
FAQ
Q1. What differentiates it from 0550W?
Higher watt overhead for GPUs, accelerators and mixed burst compute.
Q2. Does it fully support PMBus remote telemetry?
Yes, ideal for data-center monitoring and predictive replacement cycles.
Q3. Can it be used in N+1 redundancy?
Yes — ensure rack airflow and thermal load are balanced.
Q4. Where is it best deployed?
AI compute, dense virtualization, heavy I/O racks and high-bandwidth servers.
Q5. Is it recommended for hybrid compute-storage clusters?
Suitable, but ensure sustained draw does not bottleneck fan curves.
Q6. How to prolong lifespan under full load?
Prioritize strong airflow channels and periodic fan health checks.
Q7. Scaling suggestion if more watt is needed later?
Consider dual-supply redundancy or multi-rack load distribution.
Q8. Is it drop-in compatible with 0550W?
Yes — same CRPS class geometry; review load mapping before swap.