Power / Engineering Domain

Intelligent power for AI systems.

AI workloads draw, release, and re-synchronize power in patterns no legacy distribution was built for. We engineer the response.

Overhead copper busway power distribution in a clean data hall
FIG · 01 / BUSWAY
LIVE
Overhead distribution — densified, hot-swappable, GPU-aware.REF_PW.001
POWER_TOPO · MV→CHIP · OVERVIEW
2N · 480V/415V
GRID_MVXFMRSWGRPDU_1PDU_2PDU_3RACK_01RACK_02RACK_03RACK_04RACK_05RACK_06
SYS · 01/04
POWER · ENGINEERING DOMAIN
01 · Density

AI power density at the rack.

Rack-level draw has moved from kilowatts to hundreds of kilowatts in a single generation — with millisecond load swings synchronized across thousands of GPUs.

02 · Architecture

Scalable power architecture.

[ 01 ]

Medium Voltage In-Row

MV distribution at the white-space edge for shorter losses.

[ 02 ]

Solid-State Switching

Sub-cycle protection coordinated with workload telemetry.

[ 03 ]

Battery Energy Storage

BESS buffering for transient loads and grid harmonization.

[ 04 ]

Bus-Way Densification

Hot-swappable distribution scaling with GPU generations.

03 · Intelligence

Intelligent energy systems.

Telemetry-driven control loops modulate distribution in real time — anticipating training cycles, inference spikes, and grid signals.

Energy intelligence converges with operational intelligence, turning the facility itself into a continuously optimized system.

Modern medium-voltage switchgear cabinet
FIG · 02 / SWGR
LIVE
Solid-state switchgear — sub-cycle protection coordinated with workload telemetry.REF_PW.018
Distribution edge

Switching at workload speed.

AI draw patterns demand protection coordination at the millisecond. Switching becomes a workload-aware control surface, not a passive safety device.

04 · Resilience

Operational continuity by design.

<2ms
Failover Response
2N
Critical Topology
0.96
Power Factor Target
98.5%
Distribution Efficiency