AI Data Center
A data center specifically optimized to support artificial intelligence workloads, including training and inference. These centers house GPUs or other AI-specific hardware for intensive computing tasks.
An AI Datacenter is a facility specifically designed to handle the heavy computational demands of artificial intelligence. Unlike traditional data centers, AI datacenters focus on optimizing infrastructure for GPU-intensive tasks such as AI training and inference. These centers have:
High-Density GPU Racks: Built to accommodate the parallel processing power of GPUs, maximizing throughput for AI applications.
Cooling Solutions: Incorporate advanced cooling techniques like liquid cooling or lake cooling to efficiently manage heat from GPUs.
Low-Latency Infrastructure: Networking and storage are optimized to ensure fast data access, crucial for real-time AI workloads.
Key Differentiators:
An AI Datacenter is a facility specifically designed to handle the heavy computational demands of artificial intelligence. Unlike traditional data centers, AI datacenters focus on optimizing infrastructure for GPU-intensive tasks such as AI training and inference. These centers have:
High-Density GPU Racks: Built to accommodate the parallel processing power of GPUs, maximizing throughput for AI applications.
Cooling Solutions: Incorporate advanced cooling techniques like liquid cooling or lake cooling to efficiently manage heat from GPUs.
Low-Latency Infrastructure: Networking and storage are optimized to ensure fast data access, crucial for real-time AI workloads.