NVIDIA GeForce RTX 4090D
About GPU
The NVIDIA GeForce RTX 4090D GPU is an absolute powerhouse designed for desktop gaming and professional usage. With a base clock of 2280MHz and a boost clock of 2520MHz, this GPU offers exceptional performance and speed. The 24GB of GDDR6X memory and a memory clock of 1313MHz ensure that all your gaming and graphic design needs are met without any compromise.
With an impressive 14592 shading units and a massive 72MB L2 cache, the RTX 4090D is capable of handling even the most demanding tasks with ease. The 425W TDP might be on the higher side, but it is necessary to support the theoretical performance of 73.54 TFLOPS, which is simply mind-blowing.
The RTX 4090D is an absolute beast when it comes to 4K gaming, VR, and content creation. It delivers incredibly smooth and realistic graphics, making it a top choice for gamers and professionals alike. Whether you are into high-end gaming, 3D rendering, or video editing, this GPU can handle it all without breaking a sweat.
In conclusion, the NVIDIA GeForce RTX 4090D GPU is a top-of-the-line choice for anyone in need of the ultimate graphics card for their desktop setup. With its exceptional performance, high memory capacity, and advanced features, it sets a new standard for what a GPU can achieve. While it comes with a high price tag, the RTX 4090D is definitely worth the investment for those who demand the best.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
December 2023
Model Name
GeForce RTX 4090D
Generation
GeForce 40
Base Clock
2280MHz
Boost Clock
2520MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
24GB
Memory Type
GDDR6X
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
1313MHz
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.
1008 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.
443.5 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.
1149 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.
73.54 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.
1149 GFLOPS
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.
75.011
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.
114
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.
14592
L1 Cache
128 KB (per SM)
L2 Cache
72MB
TDP
425W
Benchmarks
FP32 (float)
Score
75.011
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS