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MXM GPU MODULE NVIDIA RTX4090-16GB/130W
RTX4090/16GB GDDR6 MXM GPU Module for Edge AI computing , 82 x 105 mm with 130W low-power consumption to provide single-precision 38.127 TFLOPS and integer 686 TOPS computing capability.
- AI Chip : RTX4090 Ada Lovelace
- Memory : 16GB GDDR6 256bit
- Computing: 38.127 TFLOPS/686 TOPS/9728 CUDA/304Tensor/76 RT Core
- Dimension : MXM 3.1 TYPE B : 82 x 105 mm
- The best choice for embedded edge AI application
EGRX4916P130 is an MXM GPU Module specially designed for real edge applications. It is only 82 x 105 mm. Under such an amazing size, it can output a single-precision computing power of up to 38.127 TFLOPS, the computing power converted into integer operations is also as high as 686 TOPS, and it has 9728 CUDA and 304 Tensor Core. In such a high computing power output, only 130W of power consumption can achieve excellent performance, seamless AI multitasking and amazing visual experience, all of which take place in an amazing small size.
EGRX4916P130 can be easily installed and integrated into a small AI computing pc and effectively solve the edge AI deployment with limited power supply. It can perform API transmission learning functions through the pre-training model, and then directly realize the fine-tuning model and low-latency reasoning at the edge.
What’s more shocking is that the EGRX4916P130 actually adopts the RTX4090 AI chip of NVIDIA’s latest ADA Lovelace architecture, which undoubtedly makes software developers more excited. The rich NVIDIA software eco system makes the edge AI deployment more fast and easy to implement, effectively solve the installation and low-latency reasoning of various AI models at the edge, and quickly make various decisions and judgments at the edge. Therefore, EGRX4916P130 is definitely the best choice for demanding AI tasks and limited space and limited power supply deployment among various edge equipment, whether it is industrial equipment, commercial game consoles or edge AI devices.
Specifications
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