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MXM GPU MODULE NVIDIA MX550-4GB/35W
NVIDIA MX550/4GB GDDR6 MXM GPU module which is the best inference choice for embedded edge AI application , 82mm x 70mm with 35W low-power consumption to provide single-precision 4.5 TFLOPS and 1024 CUDA computing capability.
- AI Chip : MX550 , Turing
- Memory : 4GB GDDR6 64 bit
- Computing: 4.5 TFLOPS/1024 CUDA/32 Tensor/16 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 inference choice for embedded edge AI application
EGMX554P35 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 4.5 TFLOPS and it has 1024 CUDA and 32 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.
EGMX554P35 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 EGMX554P35 actually adopts the MX550 AI chip of NVIDIA’s turing 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, EGMX554P35 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
