NVIDIA GRID RTX T10 16
About GPU
The NVIDIA GRID RTX T10 16 GPU is an impressive piece of hardware designed for professional use. With a base clock of 1065MHz and a boost clock of 1395MHz, this GPU provides powerful performance for demanding tasks such as graphic design, video editing, and 3D rendering.
With a memory size of 16GB and memory type of GDDR6, the NVIDIA GRID RTX T10 16 GPU is capable of handling large, complex datasets with ease. The memory clock of 1575MHz ensures fast and efficient data access, while the 4608 shading units and 6MB L2 cache further contribute to the GPU's exceptional performance.
Despite its high performance, the NVIDIA GRID RTX T10 16 GPU is also energy-efficient, with a TDP of 260W. This means that it can deliver outstanding performance without consuming excessive power, making it a cost-effective choice for professional workstations.
In terms of theoretical performance, the NVIDIA GRID RTX T10 16 GPU is capable of delivering an impressive 12.86 TFLOPS, making it suitable for even the most demanding professional applications.
Overall, the NVIDIA GRID RTX T10 16 GPU is a top-of-the-line option for professionals in need of high-performance graphics processing. With its impressive specifications and efficient design, this GPU is a reliable choice for any professional workstation.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
GRID RTX T10 16
Generation
GRID
Base Clock
1065MHz
Boost Clock
1395MHz
Bus Interface
PCIe 3.0 x16
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.
384bit
Memory Clock
1575MHz
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.
604.8 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.
12.603
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
12.603
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS