The HaloDrive Cooling Engine pump is a purpose-built solution for the AI era, engineered to eliminate thermal bottlenecks, reduce costs, and advance sustainability. By rethinking traditional cooling architecture, it enables hyperscale data centers to scale faster, operate more sustainably, and save millions of dollars in annual operating expenses.

By replacing inefficient mechanical cooling infrastructure, the Cooling Engine significantly reduces energy waste and operational costs. Its rare-earth-free, ferrite-based magnetic system not only supports greener operation but also enhances long-term supply chain resilience. Designed for scalability, the system combines step-change efficiency improvements with a robust modular architecture, ensuring reliability as data-center workloads and power densities continue to grow.

 In addition, each deployment can conserve 150–200 million gallons of water annually through fluid recirculation and reduced reliance on evaporative cooling — delivering substantial environmental benefits while supporting corporate sustainability goals.

The HaloDrive Cooling Engine is engineered for efficiency, sustainability, and the compute demands of today and the future.

“In the AI era, whoever controls the heat, wins.” -Global Data Center Data Hub, 9-18-25

Economics and Impact

CapEx: ~$150k–$250k per Cooling Engine (infrastructure only; excludes IT). Illustrative turnkey row (10 high-density racks + 1 Cooling Engine) ≈ $5M

CapEx Deferral (per hall): $18–30M potential avoidance by eliminating/reducing CDU/CRAH-centric plant and distribution. 

Annual OpEx Savings (power @ $0.08/kWh): ~$0.08–$0.26M per row for a 1.0–1.5 MW IT row with 10–20% facility-power reduction vs. legacy CDUs/CRAHs.  

OpEx Savings Metrics: 10–20% vs. legacy CDUs/CRAHs; scales linearly with rows (e.g., ~15 rows ≈ 20 MW hall).  

Compute Uplift: ~10% more compute per kW, which at 20 MW IT and 1.25–1.5 kW/GPU equates to ~+1,300–1,600 GPUs.

Time-to-Revenue: Scenario: modular deployment that enables earlier GPU energization can accelerate ~$100M+/quarter depending on $/GPU-month, utilization, and added GPU count.

Environmental Impact

Water Savings: Each 20 MW hall can save ~150–200 million gallons/year by avoiding evaporative cooling—equivalent to ~227–303 Olympic swimming pools annually. At corridor scale (100–300 halls), that’s ~15–60 billion gallons/year. These reductions directly support sustainability goals and grid-friendly efficiency.  

HaloDrive Cooling Engine Applications

Hyperscale Data Centers Reduce cooling energy consumption by 30–40%, improve PUE by 0.05–0.15, and deliver $30–40 million in lifecycle savings per hall.

AI/ML Training Clusters Support >100 kW per rack densities with built-in N+1 resilience to ensure uninterrupted training workloads.

Edge & Modular Deployments Ultra-compact 600 mm footprint enables seamless integration into modular data-center pods and containerized edge sites.

Colocation Retrofits Functions as a drop-in replacement with minimal HVAC redesign, accelerating deployment and reducing retrofit costs.

AI Supervisor & Load Balancing

HaloDrive is the muscle; HaloDrive Ai is the brain

  • Predicts rack-level demand spikes using machine-learning models.

  • Dynamically reallocates cooling flow and pump power to prevent thermal runaway.

  • Optimizes OpEx by aligning fluid circulation with compute cycles and workload intensity.

  • Extends uptime and reliability with predictive maintenance alerts and early-warning diagnostics.

Scalable, sustainable, and flexible for both Direct-to-Chip and Direct Immersion architectures

The HaloDrive Cooling Engine supports two high-efficiency cooling paths: Direct-to-Chip (D-t-C) for retrofit and cold-plate deployment and Direct Immersion (DI) for ultra-dense, fanless AI clusters.