NVIDIA Quadro NVS 440 PCIe x16
About GPU
The NVIDIA Quadro NVS 440 PCIe x16 GPU is a professional-grade graphics card designed to meet the demanding needs of high-performance workstations. With a base clock of 1855 MHz and a boost clock of 2495 MHz, the NVS 440 delivers exceptional performance for intensive 3D modeling, CAD, and other creative design applications.
Featuring a massive 48GB of GDDR6 memory and a memory clock of 2250 MHz, the NVS 440 ensures smooth and seamless operation even with large and complex datasets. The 6144 shading units and 6 MB L2 cache further contribute to the GPU's impressive processing power, allowing for quick and efficient rendering of graphics and visualizations.
With a TDP of 295W, the NVS 440 is a power-hungry card, but its exceptional theoretical performance of 62.546 TFLOPs makes it well worth the energy consumption. Whether you're working on complex simulations, virtual reality content, or high-resolution video editing, the NVS 440 excels in handling the most demanding tasks with ease.
Overall, the NVIDIA Quadro NVS 440 PCIe x16 GPU is a powerhouse graphics card that delivers outstanding performance for professional users. Its robust specs and impressive theoretical performance make it an ideal choice for workstations that require uncompromising graphics processing capabilities. If you're a professional user in need of a reliable and powerful graphics solution, the NVS 440 is definitely worth considering.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
April 2023
Model Name
Quadro NVS 440 PCIe x16
Generation
Radeon Pro Navi
Base Clock
1855 MHz
Boost Clock
2495 MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
48GB
Memory Type
GDDR6
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.
384bit
Memory Clock
2250 MHz
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.
864.0GB/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.
479.0 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.
958.1 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.
122.6 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.
1.916 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.
62.546
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.
6144
L1 Cache
256 KB per Array
L2 Cache
6 MB
TDP
295W
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
2.2
Benchmarks
FP32 (float)
Score
62.546
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS