The NVIDIA GeForce RTX 5090 AI server utilizes a more powerful GeForce GPU, offering robust AI computing capabilities to handle cutting-edge models and tackle more challenging creative projects. The GeForce RTX 5090 is built on the NVIDIA Blackwell architecture, featuring 21,760 CUDA cores and other computing units, with a memory bandwidth of 1792 GB/s. Compared to the previous generation RTX 4090, the RTX 5090 shows significant improvements in both the number of processing units and memory bandwidth, enabling strong support for large-scale parallel computing and floating-point operations. This characteristic highlights the RTX 5090's exceptional performance in handling complex computational tasks.

With the advancement of AI technology, the AI performance of graphics cards has become increasingly important. The NVIDIA GeForce RTX 5090 delivers an AI computing power of 4000 TOPS, equipped with four AI processing units—approximately double that of the RTX 4090. Additionally, the GeForce RTX 5090 supports FP4 precision, which reduces memory footprint when running generative AI models and doubles the AI image generation performance of models like FLUX. Whether it's AI painting, speech recognition, or deep learning training, the RTX 5090 demonstrates more powerful capabilities.

The NVIDIA GeForce RTX 5090 has unique advantages in graphics processing units and computational power, enabling strong inference capabilities. In practical applications, users can experience the RTX 5090's exceptional stability when handling real-time tasks. It offers powerful inference capabilities for applications requiring rapid processing of inference and analytical tasks, making it an excellent choice for many research institutions with limited budgets.

NVIDIA GeForce RTX 5090 AI Server Configuration:

Processor: 2 * Intel(R) Xeon(R) Gold 6530

GPU: GeForce RTX 5090 * 8

Memory: 16 * 64GB DDR5

Hard Drive: 1.92T SSD * 2

Network Card: 25G Dual-Port + 1G Dual-Port

Power Supply: 4 * 3200W