RTX 4090 Server GPU Computing Power Service

NVIDIA RTX 4090 Server GPU Computing Power Rental - AI Large Model Inference Option

The NVIDIA RTX 4090 server utilizes the latest graphics processing unit available at this stage, featuring thousands of CUDA cores and other computing units. It has been proven through testing to effectively support large-scale parallel operations and floating-point calculations. This characteristic signifies that the RTX 4090 delivers outstanding performance when handling complex computational tasks, making it an extremely valuable asset for many enterprises, universities, and research institutions.

Large-scale simulation training and computational inference are two entirely different fields. In practice, many organizations either focus on large-scale simulation training or conduct inference experiments. The entire process of large-scale simulation training requires substantial computational resources and extended training time, whereas inference work involves rapid predictive analysis on already trained models, representing a downstream process of the former.

After extensive application and testing, the RTX 4090, as an accelerator card, does not perform exceptionally well in large-scale simulation training but demonstrates strong capabilities in inference. Therefore, many research institutions, under limited budgets, need to make corresponding trade-offs.

The RTX 4090 has unique advantages in graphics processing units and computational power, enabling its robust inference capabilities. In practical applications, it exhibits remarkable stability when handling real-time tasks, making it an excellent choice for applications requiring rapid inference and analytical processing.

NVIDIA RTX 4090 AI Server GPU Computing Power Rental Specification Configuration 1:

CPU: Intel(R) Xeon(R) Gold 5418Y * 2

Memory: 256GB/1TB

Hard Drive: 1.92TB SSD * 2

Network Card: 10G * 2

GPU: NVIDIA RTX 4090 * 8

Power Supply: 4 * 2700W

NVIDIA RTX 4090 AI Server GPU Computing Power Rental Specification Configuration 2:

CPU: Intel Xeon E5-2680 v4 * 2

Memory: 256GB

Hard Drive: 1.92TB NVMe * 2 (Data Drives)

Network Card: 10G * 2

GPU: NVIDIA RTX 4090 * 4

Power Supply: 4 * 2400W