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MXM GPU MODULE NVIDIA RTX4050-6GB/35W
MXM GPU Module for Edge AI computing , 82mm x 70mm , NVIDIA RTX4050/6GB GDDR6 with 35W low-power consumption to provide single-precision 8.218 TFLOPS and integer 194 TOPS computing capability.
- AI Chip : RTX4050 Ada Lovelace
- Memory : 6GB GDDR6 96bit
- Computing: 8.218TFLOPS/194 TOPS/2560 CUDA/80 Tensor/20 RT Core
- Dimension : MXM 3.1 TYPE A : 82 x 70 mm
- 35W power consumption, no external PSU required: draw power directly from the MXM slot
- The best choice for embedded edge AI application
EGRX4506P35 is an MXM GPU Module specially designed for real edge applications. It is only 82 x 70mm. Under such an amazing size, it can output a single-precision computing power of up to 8.218 TFLOPS, the computing power converted into integer operations is also as high as 194TOPS, and it has 2560 CUDA and 80 Tensor Core. In such a high computing power output, only 35W of power consumption can achieve excellent performance, seamless AI multitasking and amazing visual experience, all of which take place in an amazing small size.
EGRX4506P35 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 EGRX4506P35 actually adopts the RTX4050 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, EGRX4506P35 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
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