NVIDIA Quadro GV100
About GPU
The NVIDIA Quadro GV100 GPU is a powerful and versatile graphics processing unit designed for professional use. With a base clock of 1132MHz and a boost clock of 1627MHz, this GPU is capable of handling intense workloads and delivering fast and reliable performance. The 32GB of HBM2 memory ensures that the GPU can handle large datasets and complex simulations with ease, while the 848MHz memory clock further enhances its overall performance.
With 5120 shading units and 6MB of L2 cache, the Quadro GV100 is able to handle demanding visual computing tasks with ease, making it a suitable choice for professionals working in industries such as design, animation, and scientific research. Additionally, the GPU's TDP of 250W ensures that it can deliver consistent and reliable performance without overheating or experiencing thermal throttling.
The theoretical performance of 16.66 TFLOPS further highlights the impressive capabilities of the Quadro GV100, making it a suitable choice for professionals who require a GPU with exceptional computational power.
Overall, the NVIDIA Quadro GV100 GPU is a top-of-the-line graphics processing unit that offers exceptional performance, reliability, and efficiency. Whether you're working on complex visual simulations, data analysis, or content creation, the Quadro GV100 is a solid choice for professionals who require a high-performance GPU for their work.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2018
Model Name
Quadro GV100
Generation
Quadro Volta
Base Clock
1132MHz
Boost Clock
1627MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
32GB
Memory Type
HBM2
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.
4096bit
Memory Clock
848MHz
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.
868.4 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.
208.3 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.
520.6 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.
33.32 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.
8.330 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.
16.993
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.
80
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.
5120
L1 Cache
128 KB (per SM)
L2 Cache
6MB
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.
1.3
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
16.993
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS