NVIDIA RTX 6000 Ada
About GPU
The NVIDIA RTX 6000 Ada GPU is an incredibly powerful and advanced graphics processing unit designed for desktop platforms. With a base clock of 2175MHz and a boost clock of 2535MHz, this GPU offers high clock speeds to handle even the most demanding tasks and applications.
One of the standout features of the RTX 6000 Ada is its massive 48GB of GDDR6 memory, making it well-suited for heavy-duty workloads such as 3D rendering, video editing, and complex simulations. The high memory clock speed of 2000MHz ensures fast data transfer and smooth performance.
With an impressive 18176 shading units and 96MB of L2 cache, the RTX 6000 Ada delivers exceptional rendering capabilities, allowing for stunning and lifelike visuals. The TDP of 300W may be on the higher end, but it’s a trade-off for the sheer processing power and performance this GPU offers.
Theoretical performance is rated at a staggering 92.15 TFLOPS, indicating its ability to handle complex calculations and graphics-intensive tasks with ease. This makes it an ideal choice for professionals and enthusiasts who require top-tier performance.
Overall, the NVIDIA RTX 6000 Ada GPU is a powerhouse in terms of performance and capabilities. Its high memory size, impressive shading units, and theoretical performance make it a top choice for those in need of uncompromising power for their desktop graphics needs. It may come with a higher power consumption, but the performance it offers more than justifies it.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
December 2022
Model Name
RTX 6000 Ada
Generation
Quadro Ada
Base Clock
2175MHz
Boost Clock
2535MHz
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
2000MHz
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.
768.0 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.
486.7 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.
1440 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.
92.15 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.
1440 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.
88.501
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
300W
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
88.501
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS