Home / GPU Comparison / NVIDIA H800 PCIe 80 GB or NVIDIA GeForce RTX 2080 Ti: What's better?

NVIDIA H800 PCIe 80 GB

vs

NVIDIA GeForce RTX 2080 Ti

GPU Comparison Result

Below are the results of a comparison of NVIDIA H800 PCIe 80 GB and NVIDIA GeForce RTX 2080 Ti video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA H800 PCIe 80 GB

Higher Boost Clock: 1755MHz (1755MHz vs 1545MHz)
Larger Memory Size: 80GB (80GB vs 11GB)
Higher Bandwidth: 2039 GB/s (2039 GB/s vs 616.0 GB/s)
More Shading Units: 18432 (18432 vs 4352)
Newer Launch Date: March 2022 (March 2022 vs September 2018)

Basic

NVIDIA

Label Name

NVIDIA

March 2022

Launch Date

September 2018

Professional

Platform

Desktop

H800 PCIe 80 GB

Model Name

GeForce RTX 2080 Ti

NVIDIA Hopper

Generation

GeForce 20

1095MHz

Base Clock

1350MHz

1755MHz

Boost Clock

1545MHz

PCIe 5.0 x16

Bus Interface

PCIe 3.0 x16

80,000 million

Transistors

18,600 million

RT Cores

528

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.

544

456

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.

272

TSMC

Foundry

TSMC

4 nm

Process Size

12 nm

Hopper

Architecture

Turing

Memory Specifications

80GB

Memory Size

11GB

HBM2e

Memory Type

GDDR6

5120bit

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.

352bit

1593MHz

Memory Clock

1750MHz

2039 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.

616.0 GB/s

Display and Media

No outputs

Outputs

1x HDMI 2.0
3x DisplayPort 1.4a
1x USB Type-C

Theoretical Performance

42.12 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.

136.0 GPixel/s

800.3 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.

420.2 GTexel/s

1513 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.

26.90 TFLOPS

0.8 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.

420.2 GFLOPS

52.244 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.

13.181 TFLOPS

Miscellaneous

114

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.

18432

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.

4352

256 KB (per SM)

L1 Cache

64 KB (per SM)

50MB

L2 Cache

0MB

350W

TDP

250W

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

OpenGL

4.6

9.0

CUDA

7.5

DirectX

12 Ultimate (12_2)

1x 16-pin

Power Connectors

2x 8-pin

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.

Shader Model

6.6

750W

Suggested PSU

600W