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Product Description
Adlink NVidia Quadro RTX A2000 Embedded Graphics, MXM 3.1 type A, 82 x 70mm, PCIe x8 GEN4
Key Features
- NVIDIA Ampere Architecture
- Standard MXM 3.1 Type A (82 x 70 mm)
- PCIe Gen 4 x8 interface
- 2560 CUDA® cores, 20 RT Cores, and 80 Tensor Cores
- 8.25TFLOPS peak FP32 performance
- 4GB/8GB GDDR6 memory, 128-bit
- 192GB/s maximal memory bandwidth
- 5-year availability
GPU Computing at the Edge
GPUs can boost the performance of a wide range of workloads, including image processing and analysis, compute acceleration, and artificial intelligence (AI). As requirements for responsiveness and accuracy become more demanding for edge systems, the combination of CPUs and GPUs is becoming more mainstream in order to deliver optimal efficiency in performance per watt and dollar.
Image processing and analysis
Air traffic control, electronic chart display and information system (ECDIS), video walls, digital signage, gaming, and healthcare
Compute acceleration
High-performance application processing such as radar/ sonar systems and ultrasound imaging
AI engines
System training and inferencing in smart manufacturing, aerospace and defense
Edge Computing
Adding a GPU to an edge system can be complex because satisfying key edge system requirements, such as low system latency, long product availability, and power efficiency, is not an easy task. A common theme in edge application examples is the need to quickly move external data from sensors and other sources to the GPU for processing. ADLINK achieves this by implementing remote direct memory access (RDMA), a feature of NVIDIA GPUDirect® technology in NVIDIA® Quadro® GPUs, that can boost data throughput by approximately 80 percent (3.6 to 6.5 GB/s) and reduce system latency by 60 percent.* RDMA gives external data sources direct access to the GPU’s external memory.
