NVIDIA GRID RTX T10 8
About GPU
The NVIDIA GRID RTX T10 8 GPU is a highly impressive professional-grade graphics processing unit that offers exceptional performance and efficiency for a wide range of applications. With a base clock of 1065MHz and a boost clock of 1395MHz, this GPU delivers impressive speed and responsiveness, making it an ideal choice for high-demand workloads.
One of the standout features of the NVIDIA GRID RTX T10 8 GPU is its 8GB of GDDR6 memory, which provides ample storage for large and complex datasets, as well as high-resolution textures and models. The memory clock speed of 1750MHz ensures quick access to data, further enhancing the GPU's overall performance.
With 4608 shading units and 6MB of L2 cache, the NVIDIA GRID RTX T10 8 GPU is capable of handling the most demanding rendering and compute tasks with ease. Its TDP of 260W strikes a good balance between power consumption and performance, making it an efficient choice for professional use.
The theoretical performance of 12.86 TFLOPS ensures that the NVIDIA GRID RTX T10 8 GPU can handle even the most intensive workloads, making it well-suited for tasks such as 3D rendering, video editing, and scientific computing.
Overall, the NVIDIA GRID RTX T10 8 GPU is a top-tier professional graphics solution that offers exceptional performance, efficiency, and versatility. Whether you are a content creator, scientist, or engineer, this GPU has the power and features to meet your needs and exceed your expectations.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
GRID RTX T10 8
Generation
GRID
Base Clock
1065MHz
Boost Clock
1395MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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
1750MHz
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.
672.0 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.
133.9 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.
401.8 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.
25.71 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.
401.8 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.
13.117
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.
72
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.
4608
L1 Cache
64 KB (per SM)
L2 Cache
6MB
TDP
260W
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
13.117
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS