NVIDIA TITAN Ada vs NVIDIA B200 SXM 192 GB

VS

NVIDIA TITAN Ada

NVIDIA B200 SXM 192 GB

We compared two Desktop platform GPUs: 48GB VRAM TITAN Ada and 192GB VRAM B200 SXM 192 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA TITAN Ada 's Advantages

Boost Clock has increased by 37% (2520MHz vs 1837MHz)

1536 additional rendering cores

Lower TDP (800W vs 1000W)

NVIDIA B200 SXM 192 GB 's Advantages

More VRAM (192GB vs 48GB)

Larger VRAM bandwidth (4100GB/s vs 1152GB/s)

Score

Benchmark

FP32 (float)

TITAN Ada +49%

92.9 TFLOPS

B200 SXM 192 GB

62.08 TFLOPS

TITAN Ada

VS

B200 SXM 192 GB

Graphics Card

Unknown

Release Date

Jan 2024

GeForce 40

Generation

Tesla Blackwell

Desktop

Type

Desktop

PCIe 4.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

2235 MHz

Base Clock

1665 MHz

2520 MHz

Boost Clock

1837 MHz

1500 MHz

Memory Clock

2000 MHz

Memory

48GB

Memory Size

192GB

GDDR6X

Memory Type

HBM3e

384bit

Memory Bus

4096bit

1152GB/s

Bandwidth

4100GB/s

Render Config

-

144

SM Count

132

18432

Shading Units

16896

576

TMUs

528

192

ROPs

24

576

Tensor Cores

528

144

RT Cores

-

128 KB (per SM)

L1 Cache

256 KB (per SM)

96 MB

L2 Cache

50 MB

-

Theoretical Performance

483.8 GPixel/s

Pixel Rate

44.09 GPixel/s

1452 GTexel/s

Texture Rate

969.9 GTexel/s

92.90 TFLOPS

FP16 (half)

248.3 TFLOPS

92.90 TFLOPS

FP32 (float)

62.08 TFLOPS

1452 GFLOPS

FP64 (double)

31.04 TFLOPS

Board Design

800W

TDP

1000W

1200 W

Suggested PSU

1400 W

1x HDMI 2.1 3x DisplayPort 1.4a

Outputs

No outputs

2x 16-pin

Power Connectors

-

Graphics Processor

AD102

GPU Name

GB100

AD102-450-A1

GPU Variant

-

Ada Lovelace

Architecture

Blackwell

TSMC

Foundry

TSMC

5 nm

Process Size

5 nm

76.3 billion

Transistors

208 billion

609 mm²

Die Size

Unknown

Graphics Features

12 Ultimate (12_2)

DirectX

N/A

4.6

OpenGL

N/A

3.0

OpenCL

3.0

1.3

Vulkan

N/A

8.9

CUDA

9.0

6.7

Shader Model

N/A

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