NVIDIA RTX 5000 Ada Generation
About GPU
The NVIDIA RTX 5000 Ada Generation GPU is a cutting-edge piece of technology that delivers exceptional performance for desktop users. With a base clock of 1155MHz and a boost clock of 2550MHz, this GPU provides lightning-fast speeds for all your computing needs. The massive 32GB of GDDR6 memory and a memory clock of 2250MHz ensure that you can handle even the most demanding tasks with ease.
One of the most impressive features of the RTX 5000 is its 12800 shading units, which allow for incredibly detailed and realistic graphics. Coupled with a sizable 72MB L2 cache, this GPU can handle complex textures and visuals with ease. The 250W TDP ensures that the GPU runs efficiently without sacrificing performance.
In terms of performance, the RTX 5000 boasts a theoretical performance of 65.28 TFLOPS, making it an ideal choice for professionals who require top-tier performance for tasks such as 3D rendering, video editing, and scientific simulations. Whether you are a content creator, designer, or gamer, the RTX 5000 provides the power and speed you need to bring your visions to life.
Overall, the NVIDIA RTX 5000 Ada Generation GPU is an exceptional choice for anyone in need of uncompromising performance and reliability. Its impressive specs make it a worthy investment for those who demand the best from their desktop setup.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
August 2023
Model Name
RTX 5000 Ada Generation
Generation
Quadro Ada
Base Clock
1155MHz
Boost Clock
2550MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
32GB
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.
256bit
Memory Clock
2250MHz
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.
576.0 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.
448.8 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.
1020 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.
65.28 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.
1020 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.
63.974
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.
100
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.
12800
L1 Cache
128 KB (per SM)
L2 Cache
72MB
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
63.974
TFLOPS
OpenCL
Score
245925
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL