NVIDIA A30 PCIe
About GPU
The NVIDIA A30 PCIe GPU is a powerhouse of a graphics processing unit, specifically designed for desktop use. With a base clock of 930MHz and a boost clock of 1440MHz, this GPU delivers fast and efficient performance for a wide range of applications. The 24GB of HBM2e memory and a memory clock of 1215MHz ensure smooth and seamless multitasking and high-resolution video editing.
One of the standout features of the A30 is its impressive 10.32 TFLOPS theoretical performance, making it suitable for demanding workloads such as machine learning, data analytics, and scientific computing. With 3584 shading units and 24MB of L2 cache, this GPU is well-equipped to handle heavy computational tasks with ease.
The A30 PCIe GPU also boasts a TDP of 165W, making it energy-efficient while still delivering high performance. This is especially beneficial for users looking to save on power consumption without compromising on speed and capabilities.
Overall, the NVIDIA A30 PCIe GPU is a top-of-the-line graphics card that offers exceptional performance and reliability. Whether you're a professional in need of a GPU for intensive workloads or a gamer looking for smooth and immersive gameplay, the A30 delivers on all fronts. Its robust specifications and efficient design make it a worthy investment for anyone in need of high-performance graphics processing.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2021
Model Name
A30 PCIe
Generation
Tesla Ampere
Base Clock
930MHz
Boost Clock
1440MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
24GB
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.
3072bit
Memory Clock
1215MHz
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.
933.1 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.
138.2 GPixel/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.
322.6 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.
10.32 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.
5.161 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.
10.114
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
56
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.
3584
L1 Cache
192 KB (per SM)
L2 Cache
24MB
TDP
165W
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
10.114
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS