AMD Instinct MI300X
About GPU
The AMD Instinct MI300X GPU is a powerhouse of a graphics card designed for high-performance computing tasks. With a base clock speed of 1000MHz and a boost clock speed of 2100MHz, this GPU is capable of handling even the most demanding workloads with ease. The impressive 192GB of HBM3 memory and a memory clock speed of 5200MHz ensure that data can be processed at lightning-fast speeds, resulting in quicker task completion.
The 19456 shading units and a generous 16MB of L2 cache further contribute to the GPU's exceptional performance, allowing for complex calculations and simulations to be executed efficiently. Additionally, the TDP of 750W ensures that the GPU has the power it needs to deliver consistent, reliable performance.
With a theoretical performance of 163.4 TFLOPS, the AMD Instinct MI300X is well-suited for tasks such as AI training, scientific research, and data analysis. The GPU's capabilities make it a valuable tool for professionals in fields such as machine learning, research, and development.
Overall, the AMD Instinct MI300X GPU offers exceptional performance, massive memory capacity, and efficient power utilization, making it an excellent choice for those in need of a high-performance computing solution. It is a versatile and reliable option for those seeking a GPU to tackle complex computational tasks.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
December 2023
Model Name
Instinct MI300X
Generation
Instinct
Base Clock
1000MHz
Boost Clock
2100MHz
Bus Interface
PCIe 5.0 x16
Memory Specifications
Memory Size
192GB
Memory Type
HBM3
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.
8192bit
Memory Clock
5200MHz
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.
5300 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.
1496 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.
1300 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.
81.7 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.
166.668
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.
19456
L1 Cache
16 KB (per CU)
L2 Cache
16MB
TDP
750W
Benchmarks
FP32 (float)
Score
166.668
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS