NVIDIA L40 CNX
About GPU
The NVIDIA L40 CNX GPU is a professional-grade graphics processing unit designed for high-performance computing and visualization tasks. With a base clock of 1005MHz and a boost clock of 2475MHz, this GPU offers exceptional speed and efficiency for demanding workloads. The 24GB of GDDR6 memory and a memory clock of 2250MHz ensure smooth and reliable performance even when handling large datasets or complex graphical workloads.
One of the standout features of the L40 CNX is its impressive 18176 shading units, which enable it to handle complex rendering and simulation tasks with ease. Additionally, the 48MB of L2 cache helps to minimize latency and improve overall system responsiveness, making it an excellent choice for professionals working in fields such as 3D rendering, scientific simulations, or machine learning.
With a TDP of 300W and a theoretical performance of 89.97 TFLOPS, the L40 CNX is a powerhouse GPU that can handle the most demanding tasks without breaking a sweat. Whether you're a professional working in a technical or creative field, this GPU offers the performance and reliability needed to bring your vision to life.
Overall, the NVIDIA L40 CNX GPU is a top-of-the-line solution for professionals who require uncompromising performance and reliability for their work. Its high clock speeds, ample memory, and impressive shading unit count make it a perfect choice for those working in fields that demand the highest levels of computing power.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
October 2022
Model Name
L40 CNX
Generation
Tesla Ada
Base Clock
1005MHz
Boost Clock
2475MHz
Bus Interface
PCIe 4.0 x16
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
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.
475.2 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.
1406 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.
89.97 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.
1406 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.
91.769
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
91.769
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS