NVIDIA A800 SXM4 80 GB
About GPU
The NVIDIA A800 SXM4 80GB GPU is a high-performance professional grade graphics processing unit designed to meet the demanding needs of modern data centers and computational workloads. With a base clock of 1155MHz and a boost clock of 1410MHz, this GPU delivers exceptional processing power and speed for a variety of applications.
One of the standout features of the A800 is its massive 80GB of HBM2e memory, allowing for large datasets to be processed and stored with ease. The high memory clock speed of 1593MHz ensures that data can be accessed and utilized efficiently, resulting in improved overall performance.
With a substantial 6912 shading units and 40MB of L2 cache, the A800 is capable of handling complex graphics and compute workloads with ease. Its impressive theoretical performance of 19.49 TFLOPS makes it well-suited for deep learning, AI, and scientific computing tasks.
Despite its high-performance capabilities, the A800 does come with a hefty TDP of 400W, requiring adequate cooling and power delivery solutions to operate optimally.
Overall, the NVIDIA A800 SXM4 80GB GPU is a powerhouse of a graphics processing unit, ideal for professionals and organizations that require top-tier performance for their data center and computational needs. Its high memory capacity, fast clock speeds, and robust shading units make it a valuable asset for a wide range of compute-intensive workloads.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
August 2022
Model Name
A800 SXM4 80 GB
Generation
Ampere
Base Clock
1155MHz
Boost Clock
1410MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
80GB
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.
5120bit
Memory Clock
1593MHz
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.
2039 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.
225.6 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.
609.1 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.
77.97 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.
9.746 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.
19.1
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.
108
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.
6912
L1 Cache
192 KB (per SM)
L2 Cache
40MB
TDP
400W
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
19.1
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS