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G1667-4200WNA

G1667

INQUIRY READY

G1667-4200WNA

Gospower / AC/DC Titanium / G1667

G1667-4200WNA offers 4200W capacity to Allnfrastructure & Accelerators, Modular Data Centers, High-Density Compute Nodes, and Network Fabrics & Fabric Switches. That balance supports reliable power behavior under changing system loads.

Output Power (W):
4200
Length (mm):
185
Width (mm):
73.5
Height (mm):
40
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PRODUCT OVERVIEW

Built for reliable, continuous power delivery.

The G1667-4200WNA is suitable for high-density infrastructure where power demand is driven by AI accelerators, multi-node compute, complex storage, and fast network fabrics. Its 4200W output makes it a strong fit for AI training platforms, scalable compute racks, modular data centers, high-density GPU servers, and distributed AI processing layers where power margin, thermal control, and system-level visibility are essential. Qualification should include airflow direction, thermal margin, cable routing, and access for routine module replacement. Backplane pinout, control signaling, and mechanical retention should be checked together before the unit is approved for production use.

Before integrating the G1667-4200WNA, confirm the mating connector or backplane, input source, output-rail requirements, hot-swap sequence, airflow direction, monitoring interface, redundancy behavior, and service clearance against the target platform.

CORE ADVANTAGES

4200W CRPS Power Supply for AI Infrastructure, Modular Data Centers, and High-Density Compute Nodes

4200W Power for AI Training and Scaling The G1667-4200WNA is designed for AI training platforms, scalable compute racks, modular data centers, GPU-intensive servers, and high-density infrastructure that require powerful 4200W power delivery in a compact CRPS module.

01

4200W Power for AI Training and Scaling The G1667-4200WNA is designed for AI training platforms, scalable compute racks, modular data centers, GPU-intensive servers, and high-density infrastructure that require powerful 4200W power delivery in a compact CRPS module.

02

Compact 1U CRPS Mechanical Design With a 185 × 73.5 × 40 mm form factor, this model supports dense accelerator chassis, high-capacity compute nodes, modular rack systems, and space-constrained server architectures where power density is critical.

03

Wide AC and DC Input Compatibility It supports 90–264Vac AC input and 180–300Vdc DC input, allowing flexible deployment across AI data centers, cloud facilities, enterprise racks, hybrid AC/DC power systems, and global high-density infrastructure environments.

04

High-Current 12V Main Output The unit provides a regulated 12V main output at 350A together with a 12V standby output at 2.1A, supporting AI accelerator arrays, CPUs, memory systems, storage backplanes, network fabrics, cooling fans, and system management circuits.

05

PMBus 1.2 Digital Power Supervision With digital control architecture and PMBus 1.2 support, the G1667-4200WNA enables compatible systems to monitor telemetry, voltage behavior, power status, fault information, thermal conditions, and remote tuning data.

06

Built for Scalable High-Density Operation Titanium-level efficiency, active PFC, intelligent fan control, reverse airflow support, and major safety and EMC compliance options help this model maintain stable operation in AI training, modular data center, and distributed compute environments.

MODEL SELECTION

Compare Gospower power options.

Review nearby Gospower models and select the power level, output architecture, efficiency grade, and form factor that best match the target system.

Model Power Output Current Efficiency Form Factor Best-Fit Application
G1667-4200WNA 4200w 12V Titantium CRPS AI training platforms and scalable compute racks
G1667-5200WNA 5200w 12V Titantium CRPS Large-scale AI cores and ultra-dense data center systems
G1666-2700WNA 2700w 12V Titantium CRPS AI inference clusters and edge GPU platforms
G1666-3200WNA 3200w 12V Titantium CRPS HPC workloads and mid-scale LLM compute nodes
G1666-3600WNA 3600w 12V Titantium CRPS High-end AI clusters and HPC fabric systems

DEPLOYMENT SCENARIOS

Where G1667-4200WNA fits best.

The G1667-4200WNA is suitable for high-density infrastructure where power demand is driven by AI accelerators, multi-node compute, complex storage, and fast network fabrics. Its 4200W output makes it a strong fit for AI training platforms, scalable compute racks, modular data centers, high-density GPU servers, and distributed AI processing layers where power margin, thermal control, and system-level visibility are essential.

Scenario System Requirement Why G1667-4200WNA Fits
AI Training Platforms Stable power for GPUs, CPUs, memory, storage, fans, and management boards 4200W output provides strong margin for long-duration accelerator workloads
Scalable Compute Racks High-current delivery for dense compute nodes and rack-level expansion 12V output at 350A supports heavy sustained compute demand
Modular Data Centers Compact high-power integration for flexible rack and chassis layouts 1U CRPS form factor supports modular deployment without increasing PSU footprint
High-Density GPU Servers Reliable output for accelerator arrays, processors, NVMe storage, and cooling systems High-current 12V rail supports large GPU configurations
Distributed AI Processing Layers Stable power for coordinated compute, network fabrics, and control systems PMBus 1.2 visibility supports diagnostics and remote operating insight
Hybrid AC/DC Infrastructure Flexible deployment across varied power environments and data center grids Wide AC/DC input range supports global and mixed-power systems

POWER DESIGN

Reliability notes for continuous operation.

The G1667-4200WNA is built for AI infrastructure, modular data centers, and high-density compute systems where very high 12V current delivery, compact CRPS integration, and controlled thermal behavior are critical. Its 4200W rating gives system designers strong operating margin for accelerator-heavy servers, scalable compute racks, and distributed AI processing environments.

  • 4200W output capacity supports AI training platforms, scalable compute racks, modular data centers, high-density GPU servers, and distributed AI processing systems.
  • 12V main output at 350A supports AI accelerators, GPUs, CPUs, memory systems, storage backplanes, network fabrics, interface modules, and cooling fans.
  • 12V standby output at 2.1A supports management logic, standby operation, monitoring circuits, and auxiliary system control.
  • Titanium-level efficiency helps reduce energy loss and thermal load during sustained high-power operation.
  • Active PFC helps improve input power quality and supports stable operation across different AC power conditions.
  • Wide AC/DC input compatibility allows deployment across AI data centers, cloud facilities, enterprise racks, modular data centers, and global infrastructure environments.
  • PMBus 1.2 communication provides visibility into telemetry, power status, voltage behavior, fault information, thermal conditions, and operating data in supported platforms.
  • Intelligent fan control and optional reverse airflow support help match different chassis cooling paths in high-density AI and compute rack designs.

INSTALLATION

Installation and operating guidance.

Confirm electrical compatibility, thermal clearance, mechanical fit, redundancy requirements, and system load before integration.

Installation / Operation Item Guidance
Load Planning Review GPU count, accelerator demand, CPU load, memory configuration, storage expansion, network fabric power, fan consumption, and standby requirements before deployment
Chassis Fitment Confirm the 185 × 73.5 × 40 mm CRPS size before mechanical integration
Input Connection Use within the supported 90–264Vac or 180–300Vdc input range
Output Compatibility Verify that the target platform is designed for 12V main power input
Standby Power Check Confirm that the platform standby requirement matches the 2.1A 12V standby output
Thermal Margin Leave sufficient airflow clearance for 4200W high-current operation in dense chassis
Airflow Direction Match standard or reverse airflow with the chassis cooling path
Monitoring Setup Use PMBus 1.2 where supported for telemetry, diagnostics, fault alerts, and remote maintenance visibility

FAQ

Frequently asked questions about G1667-4200WNA.

Key answers for specification matching, installation planning, and system integration.

What type of power supply is the G1667-4200WNA?

The G1667-4200WNA is a 4200W CRPS power supply designed for AI infrastructure, modular data centers, scalable compute racks, high-density GPU servers, and distributed AI processing systems.

What is the size of this model?

This model uses a compact 1U CRPS form factor with a size of 185 × 73.5 × 40 mm, making it suitable for dense accelerator chassis and space-constrained rack systems.

What input voltage range does it support?

The G1667-4200WNA supports 90–264Vac AC input and 180–300Vdc DC input for flexible deployment across different infrastructure power environments.

Does the G1667-4200WNA support PMBus monitoring?

Yes. The unit supports PMBus 1.2, allowing compatible systems to monitor telemetry, power status, voltage behavior, fault information, thermal conditions, and remote diagnostic data.

Why is this model suitable for AI training platforms?

Its 4200W output and 12V main rail rated at 350A provide strong power capacity for AI accelerators, GPUs, CPUs, memory systems, storage devices, fans, and management circuits.

How does this PSU support modular data centers?

The compact 1U CRPS design, wide AC/DC input range, high 12V output, and PMBus visibility make it suitable for flexible rack layouts and modular infrastructure expansion.

What makes this model different from the G1666-3600WNA?

Compared with the G1666-3600WNA, this 4200W model provides a larger 12V current budget, making it better suited for AI training platforms, scalable compute racks, and heavier accelerator deployments.

What should be checked before integrating this PSU?

Confirm the 12V input requirement, 12V standby demand, connector compatibility, chassis clearance, airflow direction, reverse airflow requirement, thermal margin, and PMBus support before deployment.

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