A GPU Server is a high-performance computing system that uses one or more Graphics Processing Units (GPUs) as its primary processing engines, rather than relying solely on traditional CPUs. These servers are purpose-built for parallel workloads such as artificial intelligence training and inference, high-performance computing (HPC), scientific simulation, and real-time graphics rendering.
Unlike standard CPU-based servers, GPU servers deliver massive parallel computing power. A single modern GPU can contain thousands of cores, enabling them to process large matrix operations and neural network calculations far more efficiently. This makes them the foundational hardware for today’s AI Accelerator deployments.
Key characteristics of GPU servers include:
- Extremely high power density — individual GPUs commonly draw 700 W–1,400 W or more, with full racks often exceeding 50–100 kW.
- Significant heat output that exceeds the capability of traditional air cooling, driving the need for advanced liquid cooling solutions.
- Dense configuration of multiple GPUs per server (typically 4–8 GPUs), requiring specialized power delivery, networking (high-speed interconnects such as NVLink or InfiniBand), and thermal management.
GPU Server and ATTOM
In modern data centers, GPU servers are the primary driver of high-density AI infrastructure. Their thermal and power demands have accelerated the industry shift toward Direct-to-Chip Liquid Cooling and Immersion Cooling, while also influencing overall facility design for lower PUE and greater energy efficiency.
Attom Technology’s AgileCore AI prefabricated modular data centers and liquid cooling platforms (ByteCool D2C and OceanCool immersion) are specifically engineered to support dense GPU server deployments, enabling customers to achieve high compute density with reliable cooling and rapid deployment.
