Home / GPU Comparison / NVIDIA RTX 6000 Ada or AMD Radeon Instinct MI300X: What's better?

NVIDIA RTX 6000 Ada

vs

AMD Radeon Instinct MI300X

GPU Comparison Result

Below are the results of a comparison of NVIDIA RTX 6000 Ada and AMD Radeon Instinct MI300X video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA RTX 6000 Ada

Higher Boost Clock: 2535MHz (2535MHz vs 2100MHz)

AMD Radeon Instinct MI300X

Larger Memory Size: 192GB (48GB vs 192GB)
Higher Bandwidth: 5171 GB/s (768.0 GB/s vs 5171 GB/s)
More Shading Units: 19456 (18176 vs 19456)
Newer Launch Date: December 2023 (December 2022 vs December 2023)

Basic

NVIDIA

Label Name

AMD

December 2022

Launch Date

December 2023

Desktop

Platform

Desktop

RTX 6000 Ada

Model Name

Radeon Instinct MI300X

Quadro Ada

Generation

Radeon Instinct

2175MHz

Base Clock

1000MHz

2535MHz

Boost Clock

2100MHz

PCIe 4.0 x16

Bus Interface

PCIe 5.0 x16

76,300 million

Transistors

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.

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.

TSMC

Foundry

4 nm

Process Size

Ada Lovelace

Architecture

Memory Specifications

48GB

Memory Size

192GB

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.

8192bit

2000MHz

Memory Clock

2525MHz

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.

5171 GB/s

Theoretical Performance

486.7 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.

1440 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.

2554 GTexel/s

92.15 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.

653.7 TFLOPS

1440 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.

81.72 TFLOPS

88.501 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.

83.354 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.

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.

19456

128 KB (per SM)

L1 Cache

16 KB (per CU)

96MB

L2 Cache

16MB

300W

TDP

750W

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

4.6

OpenGL

12 Ultimate (12_2)

DirectX

8.9

CUDA

1x 16-pin

Power Connectors

6.6

Shader Model

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.

700W

Suggested PSU

Benchmarks

FP32 (float) / TFLOPS