Immersion Produces Results
- Tackles the most advanced AI processors
- Reduces server power use 11%
- Cuts cooling energy use up to 90%
- Cools up to 368 kw/system
- Minimizes processor throttling
Advanced technologies, such as artificial intelligence and machine learning have explosive potential, however they also introduce unprecedented obstacles for data centers. These issues lead to under-performing ITE, inefficient power use, increased costs, and more. Conventional air cooling is unable to sufficiently remove the heat. Other cooling options, such as liquid to chip, only cool the processors. Plus, it still relies on expensive air cooling to remove the balance of the heat and routing coolant to each chip adds complexity — and cost — to deployments and technology refreshes.
The GRC Advantage for AI & Machine Learning
High-Density Cooling
Our high-density immersion cooling systems enable optimal heat removal from high-performance servers, minimizing the potential for processor throttling.
Energy Efficiency
Compared with conventional, air-cooled data centers, immersion cooling systems use significantly less energy, freeing up power for more compute and reducing operating costs.
Anywhere Installation
Our systems are simple, flexible, and resilient, meaning advanced computing operations can be deployed where they’re needed the most—from an existing data center to an arid desert.
Space Optimization
Immersion's high rack-densities provide more compute in a smaller footprint. Our range of models, flexible configurations, and minimal infrastructure allow for maximum processing in any facility.
CapEx Savings
In greenfield builds, immersion cooling eliminates costly air-cooling infrastructure such as chillers, air handlers, humidity controls and even raised floors, significantly reducing capital expense.
Rapid Deployment
With their minimal infrastructure requirements and modular design, our systems typically bring expanded compute capacity into a facility in as little as three months.
Enterprise AI Deployment Example
One ICEraQ S10-Duo with Two 42U Racks Housing:
- Three Dell PowerEdge R660 servers for Base Command Manager Essentials and Kubernetes Control Plane
- Thirteen Dell PowerEdge XE9680 8-GPU
(NVIDIA H100) servers for compute worker nodes - Two Dell PowerSwitch S5232 switches for K8S and storage network
- One Dell PowerSwitch N3248 switch for PXE and OOB management
- ~112kW total power draw
Small AI Deployment Example
One 24U ICEraQ Micro Housing:
- Three Dell PowerEdge R660 servers for Base Command Manager Essentials and Kubernetes Control Plane
- Nine Dell PowerEdge R760xa 4-GPU (NVIDIA H100) servers for compute worker nodes
- Two Dell PowerSwitch S5232 switches for K8S and storage network
- One Dell PowerSwitch N3248 switch for PXE and OOB management
- ~20kW total power draw
