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MXM GPU MODULE NVIDIA RTX4060-8GB/60W
NVIDIA RTX4060/8GB GDDR6 MXM GPU Module for Edge AI computing, 82mm x 70mm with 60W low-power consumption to provide single-precision 12.22 TFLOPS and integer 232 TOPS computing capability.
- AI Chip : RTX4060 Ada Lovelace
- Memory : 8GB GDDR6 128bit
- Computing: 12.22 TFLOPS/232 TOPS/3072 CUDA/96 Tensor/24 RT Core
- Dimension : MXM 3.1 TYPE A : 82 x 70 mm
- 60W power consumption, no external PSU required: draw power directly from the MXM slot
- The best choice for embedded edge AI application
EGRX4608P60 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 12.22 TFLOPS, the computing power converted into integer operations is also as high as 232TOPS, and it has 3072 CUDA and 80 Tensor Core. In such a high computing power output, only 60W of power consumption can achieve excellent performance, seamless AI multitasking and amazing visual experience, all of which take place in an amazing small size.
EGRX4608P60 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 EGRX4608P60 actually adopts the RTX4060 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, EGRX4608P60 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
