Home / GPU Comparison / NVIDIA RTX A6000 or NVIDIA H100 PCIe: What's better?

NVIDIA RTX A6000
vs
NVIDIA H100 PCIe

NVIDIA RTX A6000
vs
NVIDIA H100 PCIe

GPU Comparison Result

Below are the results of a comparison of NVIDIA RTX A6000 and NVIDIA H100 PCIe video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA RTX A6000
NVIDIA RTX A6000
NVIDIA RTX A6000
  • Higher Boost Clock: 1800MHz (1800MHz vs 1755MHz)
NVIDIA H100 PCIe
NVIDIA H100 PCIe
NVIDIA H100 PCIe
  • Larger Memory Size: 80GB (48GB vs 80GB)
  • Higher Bandwidth: 2039 GB/s (768.0 GB/s vs 2039 GB/s)
  • More Shading Units: 14592 (10752 vs 14592)
  • Newer Launch Date: March 2022 (October 2020 vs March 2022)

Basic

NVIDIA
Label Name
NVIDIA
October 2020
Launch Date
March 2022
Professional
Platform
Professional
RTX A6000
Model Name
H100 PCIe
Quadro
Generation
Tesla Hopper
1410MHz
Base Clock
1095MHz
1800MHz
Boost Clock
1755MHz
PCIe 4.0 x16
Bus Interface
PCIe 5.0 x16
28,300 million
Transistors
80,000 million
84
RT Cores
-
336
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.
456
336
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.
456
Samsung
Foundry
TSMC
8 nm
Process Size
4 nm
Ampere
Architecture
Hopper

Memory Specifications

48GB
Memory Size
80GB
GDDR6
Memory Type
HBM2e
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
2000MHz
Memory Clock
1593MHz
768.0 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.
2039 GB/s

Theoretical Performance

201.6 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.
42.12 GPixel/s
604.8 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.
800.3 GTexel/s
38.71 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.
204.9 TFLOPS
1210 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.
25.61 TFLOPS
37.936 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.
52.244 TFLOPS

Miscellaneous

84
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.
114
10752
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.
14592
128 KB (per SM)
L1 Cache
256 KB (per SM)
6MB
L2 Cache
50MB
300W
TDP
350W
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.
-
3.0
OpenCL Version
3.0
4.6
OpenGL
-
8.6
CUDA
9.0
12 Ultimate (12_2)
DirectX
-
8-pin EPS
Power Connectors
1x 16-pin
112
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
6.6
Shader Model
-
700W
Suggested PSU
750W

Benchmarks

FP32 (float) / TFLOPS
RTX A6000
37.936
H100 PCIe
52.244 +38%
Blender
RTX A6000
5670 +11%
H100 PCIe
5111
OpenCL
RTX A6000
191030
H100 PCIe
267514 +40%