G1358-1300WNA – 1300W CRPS Power Supply Designed for High-Density Server and Networking Systems
Features
CRPS-185: 185×73.5x40mm(LxWxH)
CRPS-265: 265×73.5x40mm(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
Edge Computing
Telecom
AI Training
Industrial Automation
Approvals
UL/cUL
CB
TuV-Mark
CCC/CQC
FCC
CE
NOM
BIS
Specifications
| Output Power (W): | 1300 |
| Length (mm): | 185 |
| Width (mm): | 73.5 |
| Height (mm): | 40 |
| Mounting Type: | Hot pluggable |
| Minimum Output Current (A): | 0 |
| Maximum Output Current (A): | 108.33 |
| Output Voltage (V): | 12 |
| Minimum Output Power (W): | 0 |
| Maximum Output Power (W): | 1300 |
| Minimum Input Voltage (V): | 90 |
| Maximum Input Voltage (V): | 264 |
Model Selection Comparison Table
|
Model |
Power Tier | Behavior | PMBus | Form Factor | Recommended Use |
| G1358-0800WNA | Entry/mid power | Edge compute, network security | Yes | CRPS |
POP/Firewall/Edge services |
| Higher margin | Storage + virtualization | Yes | CRPS | Multi-service nodes | |
| G1358-1600WNA | Heavy load class | HPC & parallel workloads | Yes | CRPS |
CPU/GPU mixed |
| Maximum tier | AI/Accelerated compute | Yes | CRPS |
Dense compute stacks |
Deployment Scenarios
Stepping above the 800W base tier, G1358-1300WNA is positioned for heavier service density where CPU concurrency, containerized services, or storage-backed workloads push beyond mid-range consumption, yet remain within a thermal profile suitable for compact rack footprints. Its watt class supports virtualization clusters, distributed analytics platforms, mid-tier storage controllers, load-balanced edge nodes, hybrid CPU+FPGA appliances, and multi-service compute stacks serving continuous B2B transaction traffic.
In multi-tenant environments where database sync windows, cache bursts, and parallel job flow coexist, this model holds voltage stability without rapid thermal escalation. Operators commonly deploy it to DC aggregation nodes, AI inference edge rings, Kubernetes clusters for microservices, mail/security gateways, and enterprise SaaS backends.
|
Scenario |
Workload Behavior | Why 1300W Fits |
| Virtualization/containers | High concurrency CPU tasks |
Larger watt ceiling |
|
Analytics node |
Memory-heavy parallel load | Reduced droop margin |
| Mid-tier storage control | Caching + replication |
Stable rail discipline |
|
Edge SaaS backend |
Continuous user traffic | Predictable thermal slope |
| Hybrid CPU/FPGA | Bursty jobs |
Good transient coverage |
|
Regional compute POP |
Multi-service runtime |
Efficient for 24/7 |
Power Architecture & Reliability Design
G1358-1300WNA uses the same balanced conduction framework as the 800W sibling while expanding silicon/thermal margin to maintain long-duration load integrity under more intensive utilization patterns. This watt tier reduces the risk of voltage sag during distributed replication or concurrent virtualization pipelines, while keeping conversion behavior stable through day-long service continuity.
Thermal routing supports higher sustained amperage without hotspot concentration, and enhanced capacitance banks tolerate steady high-temperature exposure typical in clustered compute halls. PMBus integration strengthens operational visibility for engineers managing rollout waves across multiple facilities. The architecture sits at a reliable midpoint — heavy enough for mixed storage & compute, light enough to remain cooling-efficient.
The core architecture provides increased headroom beyond the 800W class to support concurrency scaling, maintaining rail stability during storage replication and synchronization operations. Heat-spread airflow design enables long-haul uptime by keeping thermal stress evenly distributed, while ripple discipline is tuned for multi-instance and containerized workloads. PMBus monitoring supports distributed upkeep cycles by exposing operational trends, and a predictable thermal gradient across the rack helps control cooling behavior. Together, these characteristics make the platform a reliable driver for system scaling prior to moving into GPU-class power tiers.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| Virtualization clusters |
Keep inlet airflow direct and unobstructed |
|
Storage/replication loads |
Review ripple logs periodically |
| Multi-service edge POP |
Observe fan ramp trend at load peaks |
|
Data analytics hosting |
Maintain <80% sustained duty |
| Hybrid FPGA tasks |
Ensure stable cooling envelope |
|
SaaS backend environments |
Check PMBus event history |
| Distributed deployment |
Dust removal improves fan curve life |
|
Scaling phase |
Step to 1600W if workloads evolve |
FAQ
Q1. When should G1358-1300WNA be selected over 800W?
When service density, storage-driven workloads, or virtualization concurrency regularly exceed mid-load conditions.
Q2. How does it behave under continuous database or caching?
Stable rail behavior maintains latency consistency under replication or high-read cycles.
Q3. Is PMBus available for telemetry?
Yes, for monitoring runtime metrics remotely.
Q4. Uptime suitability?
Engineered for 24/7 sustained compute stacks.
Q5. Can it support light AI inference?
Feasible for edge inference before GPU-heavy scale-up.
Q6. Data center deployment density?
Fits medium-to-high density racks without rapid heat growth.
Q7. Redundancy considerations?
Compatible for N+1 within CRPS frameworks.
Q8. Upgrade direction if workload grows further?
Move toward G1358-1600WNA or 2000WNA for HPC & GPU applications.