NVIDIA L40S vs NVIDIA GeForce RTX 4090
GPU Comparison Result
Below are the results of a comparison of
NVIDIA L40S
and
NVIDIA GeForce RTX 4090
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 48GB (48GB vs 24GB)
- More Shading Units: 18176 (18176 vs 16384)
- Newer Launch Date: October 2022 (October 2022 vs September 2022)
- Higher Bandwidth: 1008 GB/s (864.0 GB/s vs 1008 GB/s)
Basic
NVIDIA
Label Name
NVIDIA
October 2022
Launch Date
September 2022
Desktop
Platform
Desktop
L40S
Model Name
GeForce RTX 4090
Tesla Ada
Generation
GeForce 40
1110MHz
Base Clock
2235MHz
2520MHz
Boost Clock
2520MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
76,300 million
Transistors
76,300 million
142
RT Cores
128
568
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.
512
568
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.
512
TSMC
Foundry
TSMC
5 nm
Process Size
4 nm
Ada Lovelace
Architecture
Ada Lovelace
Memory Specifications
48GB
Memory Size
24GB
GDDR6
Memory Type
GDDR6X
384bit
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
2250MHz
Memory Clock
1313MHz
864.0 GB/s
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.
1008 GB/s
Theoretical Performance
483.8 GPixel/s
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.
443.5 GPixel/s
1431 GTexel/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.
1290 GTexel/s
91.61 TFLOPS
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.
82.58 TFLOPS
1431 GFLOPS
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.
1290 GFLOPS
89.778
TFLOPS
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.
80.928
TFLOPS
Miscellaneous
142
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.
128
18176
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.
16384
128 KB (per SM)
L1 Cache
128 KB (per SM)
48MB
L2 Cache
72MB
300W
TDP
450W
1.3
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
3.0
OpenCL Version
3.0
4.6
OpenGL
4.6
8.9
CUDA
8.9
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
1x 16-pin
Power Connectors
1x 16-pin
192
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.
176
6.7
Shader Model
6.6
700W
Suggested PSU
850W
Benchmarks
FP32 (float)
/ TFLOPS
L40S
89.778
+11%
GeForce RTX 4090
80.928
Blender
L40S
7254.03
GeForce RTX 4090
12832
+77%
OpenCL
L40S
362331
+13%
GeForce RTX 4090
321810