Home / GPU Comparison / NVIDIA B200 SXM 192 GB or NVIDIA Quadro RTX 6000: What's better?

NVIDIA B200 SXM 192 GB

vs

NVIDIA Quadro RTX 6000

GPU Comparison Result

Below are the results of a comparison of NVIDIA B200 SXM 192 GB and NVIDIA Quadro RTX 6000 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA B200 SXM 192 GB

Higher Boost Clock: 1837MHz (1837MHz vs 1770MHz)
Larger Memory Size: 96GB (96GB vs 24GB)
More Shading Units: 16896 (16896 vs 4608)
Newer Launch Date: January 2024 (January 2024 vs August 2018)

NVIDIA Quadro RTX 6000

Higher Bandwidth: 672.0 GB/s (4.10 TB/s vs 672.0 GB/s)

Basic

NVIDIA

Label Name

NVIDIA

January 2024

Launch Date

August 2018

Desktop

Platform

Professional

B200 SXM 192 GB

Model Name

Quadro RTX 6000

Tesla Blackwell

Generation

Quadro

1665MHz

Base Clock

1440MHz

1837MHz

Boost Clock

1770MHz

PCIe 5.0 x16

Bus Interface

PCIe 3.0 x16

208,000 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.

576

528

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.

288

TSMC

Foundry

TSMC

5 nm

Process Size

12 nm

Blackwell

Architecture

Turing

Memory Specifications

96GB

Memory Size

24GB

HBM3e

Memory Type

GDDR6

4096bit

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

2000MHz

Memory Clock

1750MHz

4.10 TB/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.

672.0 GB/s

Theoretical Performance

44.09 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.

169.9 GPixel/s

969.9 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.

509.8 GTexel/s

248.3 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.

32.62 TFLOPS

31.04 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.

509.8 GFLOPS

60.838 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.

15.984 TFLOPS

Miscellaneous

132

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.

16896

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.

4608

256 KB (per SM)

L1 Cache

64 KB (per SM)

50MB

L2 Cache

6MB

1000W

TDP

260W

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)

Power Connectors

1x 6-pin + 1x 8-pin

Shader Model

6.6

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.

1400W

Suggested PSU

600W

Benchmarks

FP32 (float) / TFLOPS