NVIDIA L40
About GPU
The NVIDIA L40 GPU is a powerhouse of performance, boasting impressive specs that make it a solid choice for professional applications. With a base clock speed of 735MHz and a boost clock speed of 2490MHz, this GPU delivers fast and efficient performance for demanding tasks. The massive 48GB of GDDR6 memory and a memory clock of 2250MHz ensure that large datasets and complex simulations can be handled with ease.
One of the most impressive aspects of the L40 GPU is its 18176 shading units and 96MB of L2 cache, which contribute to its incredible theoretical performance of 90.52 TFLOPS. This level of processing power makes it well-suited for tasks such as deep learning, scientific simulations, and complex 3D rendering.
Despite its immense capabilities, the L40 GPU manages to operate within a reasonable TDP of 300W, making it relatively power-efficient for the level of performance it delivers. However, it's worth noting that a capable cooling solution will be necessary to keep this powerhouse running optimally.
Overall, the NVIDIA L40 GPU is a top-tier choice for professionals who require uncompromising performance for their work. Its combination of high clock speeds, generous memory, and impressive theoretical performance make it a versatile and reliable option for a wide range of professional applications. Whether for scientific research, content creation, or AI development, the L40 GPU is sure to deliver the performance needed to get the job done.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
October 2022
Model Name
L40
Generation
Tesla Ada
Base Clock
735MHz
Boost Clock
2490MHz
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.
478.1 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.
1414 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.
90.52 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.
1414 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.
92.33
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
92.33
TFLOPS
Blender
Score
4336
Vulkan
Score
249130
OpenCL
Score
292357
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL