NVIDIA L40S
About GPU
The NVIDIA L40S GPU is a powerhouse that delivers outstanding performance across a wide range of applications. With a base clock of 1110MHz and a boost clock of 2520MHz, this GPU offers impressive speeds and can handle the most demanding tasks with ease. The 48GB of GDDR6 memory and a memory clock of 2250MHz ensure that it can handle large datasets and high-resolution textures without breaking a sweat.
One of the standout features of the L40S is its 18176 shading units, which allow for incredibly detailed and lifelike graphics. Combined with a 48MB L2 cache, this GPU is able to provide smooth and immersive gaming experiences, as well as handle complex rendering tasks with ease.
Despite its high performance, the L40S is relatively power-efficient, with a TDP of 300W. This means that it can deliver exceptional performance without consuming excessive amounts of power, making it a great choice for environmentally-conscious consumers.
With a theoretical performance of 91.61 TFLOPS, the L40S is well-suited to a wide range of applications, from gaming and content creation to scientific research and data analysis. Whether you're a professional in need of a high-performance GPU for your work or an avid gamer looking for the ultimate in graphics performance, the NVIDIA L40S is a top choice. Overall, the NVIDIA L40S GPU is a fantastic option for anyone in need of uncompromising performance and reliability.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
October 2022
Model Name
L40S
Generation
Tesla Ada
Base Clock
1110MHz
Boost Clock
2520MHz
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
2250MHz
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.
864.0 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.
483.8 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.
1431 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.
91.61 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.
1431 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.
89.778
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
48MB
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
89.778
TFLOPS
OpenCL
Score
362331
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL