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MXM GPU MODULE NVIDIA RTX4080-12GB/80W
NVIDIA RTX4080/12GB GDDR6 MXM GPU Module for Edge AI computing , 82 x 105 mm with 80W low-power consumption to provide single-precision 30 TFLOPS and integer 542 TOPS computing capability.
- AI Chip : RTX4080 Ada Lovelace
- Memory : 12GB GDDR6 192 bit
- Computing: 30 TFLOPS/542 TOPS/7424 CUDA/232Tensor/80 RT Core
- Dimension : MXM 3.1 TYPE A : 82 x 70 mm
- The best choice for embedded edge AI application
EGRX4812P80 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 30 TFLOPS, the computing power converted into integer operations is also as high as 542 TOPS, and it has 7424 CUDA and 232 Tensor Core. In such a high computing power output, only 80W of power consumption can achieve excellent performance, seamless AI multitasking and amazing visual experience, all of which take place in an amazing small size.
EGRX4812P80 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 EGRX4812P80 actually adopts the RTX4080 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, EGRX4812P80 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
Performance
