G1505-2700WNA – 2700W CRPS Power Supply for Advanced AI Servers, High-Density Compute Racks, and Large-Scale Cloud 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): | 2700 |
| Length (mm): | 185 |
| Width (mm): | 73.5 |
| Height (mm): | 40 |
| Mounting Type: | Hot pluggable |
| Minimum Output Current (A): | 0 |
| Maximum Output Current (A): | 225 |
| Output Voltage (V): | 12 |
| Minimum Output Power (W): | 0 |
| Maximum Output Power (W): | 2700 |
| Minimum Input Voltage (V): | 90 |
| Maximum Input Voltage (V): | 264 |
Model Selection Comparison Table
|
Model |
Power Tier | Behavior | PMBus | Form Factor | Recommended Use |
| G1505-2700WNA | Entry high-capacity | GPU/Compute dense workloads | Yes | CRPS |
HPC / inference clusters |
| Maximum performance | Heavy accelerated compute | Yes | CRPS | AI + multi-node processing | |
| G1508-1600WNA | Mid-high performance | Compute/storage balanced | Yes | CRPS |
Virtualization + inference |
| Large enterprise compute | Heavy AI/HPC | Yes | CRPS |
Multi-GPU, HPC fabrics |
Deployment Scenarios
G1505-2700WNA sits as the entry topology within the G1505 high-density platform, designed for mid-to-high performance compute farms where sustained power draw, accelerator burst load and distributed concurrency run above the comfort zone of 2KW-class units. This watt tier is suited for GPU inference clusters, parallel virtualization nodes, large multi-tenant SaaS infrastructure, DB replication rings, analytics consolidation layers and multi-service data center racks moving toward higher utilization density.
Teams frequently deploy G1505-2700WNA in micro-HPC corridors, orchestration gateways, scalable storage-backed fabrics, medium GPU inference deployment rings, CDN and caching layers, media encoding pipelines and hybrid CPU+GPU compute grids. It provides thermal predictability, transient absorption capacity and ripple stability under concurrency events, making it a reliable baseline for heavy workloads without immediately stepping into extreme watt categories.
|
Scenario |
Workload Behavior | Why 2700W Fits |
| GPU-backed inference | Burst + continuous cycle loads |
Higher transient margin |
|
High VM concurrency |
Multi-tenant task execution | Resists voltage droop |
| Analytics ingestion | Stream + compute merge |
Stable waveform behavior |
|
DB replication clusters |
Write-heavy cycles | Maintains low ripple drift |
| Media encoding | Constant throughput |
Thermal slope predictable |
|
Hybrid HPC nodes |
Mixed CPU+GPU |
Sustained watt ceiling |
Power Architecture & Reliability Design
The G1505-2700WNA is engineered for heavy-duty compute environments where accelerated workloads operate for extended intervals, demanding conduction efficiency, rail stability, and ripple moderation as utilization approaches saturation. Its conversion stages preserve waveform integrity through inference bursts, database commit waves, container spool-up events, and analytics indexing cycles, allowing sustained high-duty operation without voltage degradation.
Thermal routing is designed to distribute airflow evenly across switching elements and magnetic components, reducing localized heat concentration and extending capacitor lifetime during long uptime windows. Spread-spectrum EMI shaping limits signal interference within dense backplane and interconnect fabrics, supporting clean coexistence with high-bandwidth networking and accelerator links under elevated load conditions.
PMBus-based health visibility enables early detection of degradation through trend analysis, including ripple ascent, thermal slope behavior, fan duty profile drift, and event frequency accumulation. Positioned as a strategic entry tier below extreme-watt platforms, the G1505-2700WNA supports high-density deployment growth while delaying the transition to 3200W-class solutions for continuous AI acceleration or HPC saturation scenarios.
Power Operating Notes
|
Reference Condition |
Suggested Guidance |
| GPU inference |
Maintain cold aisle intake at optimal range |
|
Virtualization scaling |
Avoid >90% sustained utilization where possible |
| DB replication |
Monitor ripple logs during commit bursts |
|
Analytics pipelines |
Track PMBus thermal snapshots regularly |
| Mixed HPC workloads |
Ensure airflow path unobstructed |
|
Edge-to-core grid |
Fan duty variations indicate dust impact |
| 24/7 saturation |
Quarterly cooling surface cleaning recommended |
|
Growth roadmap |
Step to 3200W for heavier multi-accelerator load |
FAQ
Q1. When does G1505-2700WNA make most sense?
When 2KW-class power is insufficient but extreme watt tiers are not yet justified.
Q2. Suitable for GPU cluster workloads?
Yes — engineered for GPU-accelerated compute with stable transient handling.
Q3. Is PMBus supported?
Full telemetry insight for runtime health and maintenance planning.
Q4. Continuous duty reliability?
Designed for 24/7 operation in high-load compute corridors.
Q5. Inference burst tolerance?
Rail remains controlled through transient surge windows.
Q6. Deployment scale profile?
Ideal for dense rack footprint without early multi-rail expansion.
Q7. Redundancy compatibility?
CRPS format supports N+1 integration directly.
Q8. When to move higher?
Shift to G1505-3200WNA when workloads scale toward sustained HPC/GPU saturation.