AMD Radeon Instinct MI210
About GPU
The AMD Radeon Instinct MI210 GPU is a powerful professional-grade graphics processing unit designed for complex data center workloads and HPC (High-Performance Computing) tasks. With its impressive specs, including a base clock of 1000MHz and a boost clock of 1700MHz, the MI210 delivers exceptional performance for demanding applications.
One of the standout features of the MI210 is its massive 64GB of HBM2e memory, which offers high bandwidth and low latency, making it ideal for handling large datasets and memory-intensive workloads. Combined with a memory clock of 1600MHz and a substantial 16MB L2 cache, the MI210 delivers exceptional memory performance, enabling faster data processing and analysis.
With 6656 shading units and a TDP of 300W, the MI210 is capable of handling highly parallel workloads and complex calculations with ease. Its theoretical performance of 23.083 TFLOPS further emphasizes its capabilities in handling compute-intensive tasks.
The MI210 is well-suited for a wide range of applications, including scientific simulations, deep learning, artificial intelligence, and more. Its high-performance capabilities and large memory capacity make it an ideal choice for research institutions, data centers, and other enterprise environments where accelerated computing is essential.
Overall, the AMD Radeon Instinct MI210 GPU is a top-of-the-line solution for professional HPC and data center workloads, offering exceptional performance, memory capacity, and efficiency for demanding computational tasks.
Basic
Label Name
AMD
Platform
Professional
Launch Date
December 2021
Model Name
Radeon Instinct MI210
Generation
Radeon Instinct
Base Clock
1000MHz
Boost Clock
1700MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
64GB
Memory Type
HBM2e
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
4096bit
Memory Clock
1600MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
1638 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
0 MPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
707.2 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
181.0 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
22.63 TFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
23.083
TFLOPS
Miscellaneous
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
6656
L1 Cache
16 KB (per CU)
L2 Cache
16MB
TDP
300W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
N/A
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
23.083
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS