GPU data centers differ from traditional ones in several ways:

1. Increased Power Density (Timestamp: 00:12:01-00:12:29): GPU compute is about four times more power-dense compared to CPU compute, which significantly impacts data center planning. A given space, say a 10,000 square foot room, with a certain power capacity, must now accommodate the higher power requirements of GPUs, leading to challenges in how the space is utilized.

2. Infrastructure Modernization (Timestamp: 00:07:52-00:07:58): Jensen from NVIDIA mentioned during a quarterly earnings call that we are in the first year of a decade-long modernization of data centers, making them more intelligent. This implies a shift towards smarter data centers with improved efficiency and capabilities.

3. Smart Data Centers (Timestamp: 00:08:04-00:08:24): The modern data centers are designed to be smart, with data and infrastructure components working together intelligently. NVIDIA is aiming to enable smart routing of data packets and enhance the throughput and communication within the data center infrastructure.

4. Specialized Infrastructure Configurations (Timestamp: 00:08:33-00:08:54): Data centers are being built with NVIDIA's infrastructure following a DGX reference specification, which is focused on extracting maximum performance from NVIDIA's hardware along with the necessary ancillary components.

5. Holistic Approach (Timestamp: 00:02:23-00:02:27): NVIDIA is creating a holistic approach for customers by providing not just the hardware but also ensuring that the data centers are optimized to leverage the full capabilities of their GPUs and related components.

6. Networking Technologies (Timestamp: 00:32:14-00:32:23): NVIDIA's advantage in the market is not limited to its GPUs but also extends to the components that support them, such as the InfiniBand fabric, which is crucial for data center networking and communication efficiency.

7. Efficiency Gains (Timestamp: 00:35:30-00:35:54): Some companies, like CoreWeave, claim to operate GPU data centers that are 40 to 60% more efficient on a workload-adjusted basis compared to what is found across hyperscalers, thanks to their unique configuration and optimization strategies.

In summary, GPU data centers are evolving to be more power-dense, intelligent, and efficient, with a focus on maximizing throughput and performance. They are designed to cater to the specific needs of GPU-intensive workloads, which differ significantly from the requirements of traditional CPU-based computing tasks.