NVIDIA A100 PCIe 80 GB
About GPU
The NVIDIA A100 PCIe 80 GB GPU is a powerful and advanced professional-grade GPU that offers exceptional performance for a wide range of applications. With a base clock of 1065MHz and a boost clock of 1410MHz, this GPU delivers high-speed processing and seamless multitasking capabilities. The massive 80GB of HBM2e memory and a memory clock of 1593MHz ensures that even the most demanding workloads can be handled with ease.
One of the standout features of the A100 PCIe 80 GB GPU is its impressive 6912 shading units, which allow for incredibly detailed and lifelike graphics rendering. Additionally, the 80MB L2 cache further enhances the GPU's performance, enabling quicker access to frequently used data and reducing latency during data-intensive tasks.
Despite its formidable processing power, the A100 PCIe 80 GB GPU has a relatively modest TDP of 250W, ensuring that it remains energy-efficient and does not generate excessive heat during operation. The GPU also boasts an impressive theoretical performance of 19.49 TFLOPS, making it well-suited for demanding AI, HPC, and scientific computing workloads.
Overall, the NVIDIA A100 PCIe 80 GB GPU is a top-of-the-line solution for professionals seeking uncompromising performance and reliability. Whether used for data analytics, deep learning, or content creation, this GPU provides the raw power and efficiency needed to tackle complex tasks with ease.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
June 2021
Model Name
A100 PCIe 80 GB
Generation
Ampere
Base Clock
1065MHz
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.
19.88
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
80MB
TDP
250W
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
19.88
TFLOPS
Blender
Score
4549
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender