NVIDIA L40G vs NVIDIA H100 SXM5 96 GB
GPU Comparison Result
Below are the results of a comparison of
NVIDIA L40G
and
NVIDIA H100 SXM5 96 GB
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2475MHz (2475MHz vs 1837MHz)
- More Shading Units: 18176 (18176 vs 16896)
- Newer Launch Date: October 2022 (October 2022 vs March 2022)
- Larger Memory Size: 96GB (24GB vs 96GB)
- Higher Bandwidth: 3350 GB/s (864.0 GB/s vs 3350 GB/s)
Basic
NVIDIA
Label Name
NVIDIA
October 2022
Launch Date
March 2022
Professional
Platform
Professional
L40G
Model Name
H100 SXM5 96 GB
Tesla Ada
Generation
Tesla Hopper
1005MHz
Base Clock
1665MHz
2475MHz
Boost Clock
1837MHz
PCIe 4.0 x16
Bus Interface
PCIe 5.0 x16
76,300 million
Transistors
80,000 million
142
RT Cores
-
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.
528
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.
528
TSMC
Foundry
TSMC
4 nm
Process Size
4 nm
Ada Lovelace
Architecture
Hopper
Memory Specifications
24GB
Memory Size
96GB
GDDR6
Memory Type
HBM3
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.
5120bit
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.
3350 GB/s
Theoretical Performance
475.2 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.
44.09 GPixel/s
1406 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.
969.9 GTexel/s
89.97 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.
248.3 TFLOPS
1406 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.
31.04 TFLOPS
91.769
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.
68.32
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.
132
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.
16896
128 KB (per SM)
L1 Cache
256 KB (per SM)
48MB
L2 Cache
50MB
300W
TDP
700W
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.
N/A
3.0
OpenCL Version
3.0
4.6
OpenGL
N/A
8.9
CUDA
9.0
12 Ultimate (12_2)
DirectX
N/A
1x 16-pin
Power Connectors
8-pin EPS
6.6
Shader Model
N/A
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.
24
700W
Suggested PSU
1100W
Benchmarks
FP32 (float)
/ TFLOPS
L40G
91.769
+34%
H100 SXM5 96 GB
68.32