Energy Storage for Data Centers - AI Load Management, UPS, and Capacity

The power problems we solve for data centers

01

AI load volatility

AI training clusters shift power demand by tens of megawatts within seconds — creating voltage instability and sub-synchronous oscillations that conventional infrastructure was never designed to absorb.

02

Interconnection bottlenecks

Utility queues run 18–36 months. Construction timelines are set by power availability, not permits or materials.

03

Outdated UPS technology

Batteries that degrade every 3–5 years. Floor space consumed by protection instead of compute. Systems designed for steady loads, not the dynamic power profiles of AI workloads.

04

Emerging compliance mandates

Texas requires curtailment readiness and demand response capability for 75 MW+ facilities. Virginia, Georgia, and other high-growth markets are expected to follow.

Stabilize the most volatile loads in your facility

AI training clusters create power swings that overwhelm conventional infrastructure. Torus absorbs the volatility in milliseconds — keeping generators, grid connections, and compute stable.

AI load management

Power continuity for critical loads

A 10C-rated flywheel-based UPS that holds performance across 25,000 cycles and installs outside. Reduces battery replacement cycles and frees interior floor space for additional compute.

AI UPS

Secure power on your project’s timeline

Expand capacity behind the meter, right-size your generation fleet, or partner with the utility to free up headroom. Power your project faster, without waiting for traditional infrastructure.

Speed to power

Designed for AI load growth

Torus delivers native DC power at the speed AI demands.

800V DC native

Torus operates on the same 800-volt DC bus as modern GPU racks. Fewer conversion stages. Less waste. More compute per watt.

25,000 cycles

AI workloads degrade chemical batteries in 3-5 years. Torus Spin handles multiple cycles a day with minimal maintenance and no repowering.

Built for AI loads

10C discharge handles the extreme power swings of GPU training clusters — ramping with the workload instead of falling behind it.

Compliant, flexible, full-stack solutions

Compliant on day one, flexible from there. Torus covers the full stack, so you can focus on compute.

Built for new regulatory realities

Texas SB 6 makes large new data centers curtailable during grid emergencies, ERCOT requires voltage ride-through, and a voluntary demand response program rewards flexible load. Torus handles all three — and what Texas requires today, other markets will follow.

Start a conversation

Your questions, answered.

AI training synchronizes thousands of GPUs to ramp and drop power together — creating fast, multi-megawatt swings on local distribution. Batteries can't react quickly enough to counter every swing, which leaves voltage sags, equipment stress, and tripped breakers in extreme cases. Torus reacts in milliseconds at 20x the power of a battery — fast enough to absorb the ramps and inject during the drops before they reach your loads.
Conventional UPS was designed for steady, predictable server loads. AI load clusters draw power in sharp, repetitive cycles that accelerate battery degradation, compress replacement intervals, and create peak demands that exceed legacy sizing. The combination of shorter battery life, higher power density per rack, and dynamic load profiles is pushing traditional UPS architectures past their design limits.

Energy infrastructure that keeps pace with AI