NVIDIA Tesla T40 24 GB
About GPU
The NVIDIA Tesla T40 24 GB GPU is an incredibly powerful and efficient professional-grade graphics card that delivers outstanding performance for a wide range of applications. With a base clock speed of 1305MHz and a boost clock speed of 1560MHz, this GPU can handle even the most demanding tasks with ease.
One of the standout features of the Tesla T40 is its massive 24GB of GDDR6 memory, which allows for rapid data processing and seamless multitasking. The high memory clock speed of 1625MHz ensures that data can be quickly accessed and transferred, resulting in smooth and efficient performance.
With 4608 shading units and 6MB of L2 cache, the Tesla T40 excels at handling complex computational tasks and rendering high-quality graphics. Whether you're working on AI and machine learning, scientific simulations, or professional rendering, this GPU is up to the challenge.
Despite its impressive performance capabilities, the Tesla T40 is also relatively power-efficient, with a TDP of 260W. This means that it can deliver exceptional performance without consuming excessive amounts of power or generating excessive heat.
Overall, the NVIDIA Tesla T40 24 GB GPU is a top-of-the-line option for professionals who require uncompromising performance and reliability. With its massive memory capacity, high clock speeds, and impressive number of shading units, this GPU is well-suited for a wide range of professional applications. Whether you're a data scientist, researcher, or content creator, the Tesla T40 is sure to exceed your expectations.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
Tesla T40 24 GB
Generation
Tesla Turing
Base Clock
1305MHz
Boost Clock
1560MHz
Bus Interface
PCIe 3.0 x16
Transistors
18,600 million
RT Cores
72
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.
576
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.
288
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
Memory Specifications
Memory Size
24GB
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
1625MHz
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.
624.0 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.
149.8 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.
449.3 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.
28.75 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.
449.3 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.
14.092
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
7.5
Power Connectors
1x 6-pin + 1x 8-pin
Shader Model
6.7
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.
96
Suggested PSU
600W
Benchmarks
FP32 (float)
Score
14.092
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS