NVIDIA GeForce RTX 4090 D vs NVIDIA TITAN Ada

VS

NVIDIA GeForce RTX 4090 D

NVIDIA TITAN Ada

We compared two Desktop platform GPUs: 24GB VRAM GeForce RTX 4090 D and 48GB VRAM TITAN Ada to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 4090 D 's Advantages

Lower TDP (425W vs 800W)

NVIDIA TITAN Ada 's Advantages

More VRAM (48GB vs 24GB)

Larger VRAM bandwidth (1152GB/s vs 1008GB/s)

3840 additional rendering cores

Score

Benchmark

FP32 (float)

GeForce RTX 4090 D

73.54 TFLOPS

TITAN Ada +26%

92.9 TFLOPS

GeForce RTX 4090 D

VS

TITAN Ada

Graphics Card

Dec 2023

Release Date

Unknown

GeForce 40

Generation

GeForce 40

Desktop

Type

Desktop

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

2280 MHz

Base Clock

2235 MHz

2520 MHz

Boost Clock

2520 MHz

1313 MHz

Memory Clock

1500 MHz

Memory

24GB

Memory Size

48GB

GDDR6X

Memory Type

GDDR6X

384bit

Memory Bus

384bit

1008GB/s

Bandwidth

1152GB/s

Render Config

-

114

SM Count

144

14592

Shading Units

18432

456

TMUs

576

176

ROPs

192

456

Tensor Cores

576

114

RT Cores

144

128 KB (per SM)

L1 Cache

128 KB (per SM)

72 MB

L2 Cache

96 MB

-

Theoretical Performance

443.5 GPixel/s

Pixel Rate

483.8 GPixel/s

1149 GTexel/s

Texture Rate

1452 GTexel/s

73.54 TFLOPS

FP16 (half)

92.90 TFLOPS

73.54 TFLOPS

FP32 (float)

92.90 TFLOPS

1149 GFLOPS

FP64 (double)

1452 GFLOPS

Board Design

425W

TDP

800W

800 W

Suggested PSU

1200 W

1x HDMI 2.1 3x DisplayPort 1.4a

Outputs

1x HDMI 2.1 3x DisplayPort 1.4a

1x 16-pin

Power Connectors

2x 16-pin

Graphics Processor

AD102

GPU Name

AD102

AD102-250-A1

GPU Variant

AD102-450-A1

Ada Lovelace

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

5 nm

Process Size

5 nm

76.3 billion

Transistors

76.3 billion

609 mm²

Die Size

609 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

8.9

CUDA

8.9

6.7

Shader Model

6.7

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