NVIDIA RTX 5000 Embedded Ada Generation X2
The NVIDIA RTX 5000 Embedded Ada Generation X2 GPU represents a significant leap forward in mobile graphics performance, making it an exciting option for both developers and gamers alike. With a base clock of 930 MHz and a remarkable boost clock of 1680 MHz, this GPU delivers impressive processing power. The 16GB of GDDR6 memory coupled with a memory clock of 2250 MHz ensures high bandwidth for demanding applications, enabling seamless performance in resource-intensive tasks such as real-time ray tracing and AI-driven workloads.
Boasting 9,728 shading units and a robust theoretical performance of 33.344 TFLOPS, the RTX 5000 excels in delivering lifelike graphics and complex simulations. The 64 MB L2 cache enhances efficiency and responsiveness, ensuring smoother gameplay and faster rendering times. With a thermal design power (TDP) of 150W, the GPU strikes a balance between performance and power efficiency, making it well-suited for portable systems without sacrificing capability.
The Ada architecture brings significant enhancements in AI compatibility, further elevating the performance, particularly in modern gaming and professional applications. In summary, the NVIDIA RTX 5000 Embedded Ada Generation X2 GPU is a formidable choice for those seeking top-tier performance in mobile platforms, empowering users with cutting-edge technology that can handle the most demanding tasks with ease. Whether you're a developer seeking to push the limits of rendering or a gamer looking for lifelike visuals, this GPU does not disappoint.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
March 2023
Model Name
RTX 5000 Embedded Ada Generation X2
Generation
Quadro Ada-M
Base Clock
930 MHz
Boost Clock
1680 MHz
Bus Interface
PCIe 4.0 x16
Transistors
45.9 billion
RT Cores
76
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
304
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
304
Foundry
TSMC
Process Size
5 nm
Architecture
Ada Lovelace
Memory Specifications
Memory Size
16GB
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
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.
576.0GB/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.
188.2 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.
510.7 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.
32.69 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.
510.7 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.
33.344
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.
76
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.
9728
L1 Cache
128 KB (per SM)
L2 Cache
64 MB
TDP
150W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
8.9
Power Connectors
None
Shader Model
6.8
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
112
Benchmarks
FP32 (float)
Score
33.344
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS