AMD Instinct MI210 GPU
The AMD Instinct MI210 is a high-performance GPU built for the most demanding AI, machine learning, and scientific computing applications. Powered by the advanced AMD CDNA 2 architecture, the MI210 is optimized for accelerating workloads in data centers, HPC (High-Performance Computing), and AI research, delivering exceptional processing power and energy efficiency.
With its cutting-edge design, the MI210 excels in both training and inference tasks, offering unparalleled throughput for deep learning models, AI training pipelines, and high-performance simulations. It’s engineered to accelerate complex simulations, data processing, and scientific computations, making it a go-to solution for professionals and researchers pushing the limits of modern AI and HPC workloads.
The MI210 also boasts substantial memory capacity and high bandwidth, ensuring smooth performance for memory-intensive applications like large-scale data analysis and high-resolution simulations. Whether you’re working on AI model development, rendering high-fidelity visual environments, or running large-scale scientific experiments, the AMD Instinct MI210 is built to provide the power and scalability required for success in next-generation research and development environments.
For professionals and organizations looking to tackle the most complex and data-intensive workloads, the AMD Instinct MI210 GPU offers the performance, reliability, and efficiency necessary to unlock groundbreaking innovations and achieve superior results.
GPU Architecture: CDNA2
CUDA Cores: 6,656
Compute Units:Â 104
Peak Core Clock:Â 1700 MHz
GPU Memory: 64 GB
Memory Type: GDDR6
Memory Bandwidth: 1,6 tB/s
Peak Single Precision Matrix (FP32) Performance:Â 45.3 TFLOPs
Peak Double Precision Matrix (FP64) Performance:Â 45.3 TFLOPs
Peak Single Precision (FP32) Performance:Â 22.6 TFLOPs
Peak Double Precision (FP64) Performance:Â 22.6 TFLOPs
Peak INT4 Performance:Â 181 TOPs
Peak INT8 Performance:Â 181 TOPs
Peak bfloat16:Â 181 TFLOPs
Form Factor: PCIe 4.0
Thermal Design Power (TDP): 300W
Power Connector: 16-pin
Target Applications: AI model training, machine learning, deep learning inference, high-performance computing (HPC)
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