AMD Instinct MI300A APU
About GPU
The AMD Instinct MI300A APU GPU is a powerhouse in the professional computing world. With its impressive specs, it is well-suited for a range of professional applications, including artificial intelligence, deep learning, and scientific research.
The APU GPU boasts a base clock of 1000MHz and a boost clock of 2100MHz, providing lightning-fast processing speeds. Its large 128GB memory size and high-speed HBM3 memory type, clocked at 5200MHz, ensure that it can handle massive datasets and complex computations with ease.
The APU GPU's 14592 shading units and 16MB L2 cache contribute to its exceptional performance, allowing it to handle a wide range of tasks efficiently. Additionally, with a TDP of 760W, it is a power-hungry component, but it offers unparalleled computational power in return.
The theoretical performance of 122.6 TFLOPS showcases the APU GPU's immense capabilities, making it a top choice for professionals who demand high-performance computing solutions.
In summary, the AMD Instinct MI300A APU GPU is a cutting-edge professional computing solution that offers exceptional performance for demanding workloads. With its impressive specifications and high theoretical performance, it is an ideal choice for professionals in fields such as AI, machine learning, and scientific research. While its high power consumption may be a consideration, the APU GPU's raw computational power makes it a standout option for those in need of a professional-grade computing solution.
Basic
Label Name
AMD
Platform
Professional
Launch Date
December 2023
Model Name
Instinct MI300A
Generation
Instinct
Base Clock
1000MHz
Boost Clock
2100MHz
Bus Interface
PCIe 5.0 x16
Memory Specifications
Memory Size
128GB
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.
980.6 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.
61.3 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.
125.052
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.
14592
L1 Cache
16 KB (per CU)
L2 Cache
16MB
TDP
760W
Benchmarks
FP32 (float)
Score
125.052
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS