NVIDIA GeForce RTX 4090 Ti

NVIDIA GeForce RTX 4090 Ti

About GPU

The NVIDIA GeForce RTX 4090 Ti GPU is an absolute powerhouse, offering exceptional performance for desktop gaming and professional applications. With a base clock of 2325MHz and a boost clock of 2565MHz, this GPU delivers blistering speeds and seamless graphics rendering. The massive 24GB of GDDR6X memory and a memory clock of 1500MHz ensure smooth multitasking and support for high-resolution textures and 3D models. With an impressive 18176 shading units and 96MB of L2 cache, the RTX 4090 Ti is capable of handling even the most demanding graphics workloads with ease. The 600W TDP may require a robust power supply, but it is well worth the energy for the sheer power and performance this GPU provides. The theoretical performance of 93.24 TFLOPS further solidifies its status as a top-tier GPU for enthusiasts and professionals alike. In terms of gaming, the RTX 4090 Ti excels at delivering smooth, high-fidelity gameplay at maximum settings for even the most demanding titles. Additionally, its ray tracing capabilities and AI-driven features make it a compelling choice for content creators and professionals working in fields such as 3D animation, graphic design, and video editing. Overall, the NVIDIA GeForce RTX 4090 Ti GPU is a game-changing graphics card that sets a new standard for performance and capabilities. While it comes at a premium price point, its unrivaled power and cutting-edge technology make it a worthy investment for those in need of uncompromising performance in their GPU.

Basic

Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce RTX 4090 Ti
Generation
GeForce 40
Base Clock
2325MHz
Boost Clock
2565MHz
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
1500MHz
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.
1152 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.
492.5 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.
1457 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.
93.24 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.
1457 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.
91.375 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.
142
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.
18176
L1 Cache
128 KB (per SM)
L2 Cache
96MB
TDP
600W
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
91.375 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
91.769 +0.4%
91.769 +0.4%
91.042 -0.4%
90.219 -1.3%