NVIDIA L40G vs NVIDIA GRID RTX T10 8

VS

NVIDIA L40G

NVIDIA GRID RTX T10 8

We compared two Professional market GPUs: 24GB VRAM L40G and 8GB VRAM GRID RTX T10 8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA L40G 's Advantages

Boost Clock has increased by 77% (2475MHz vs 1395MHz)

More VRAM (24GB vs 8GB)

Larger VRAM bandwidth (864.0GB/s vs 672.0GB/s)

13568 additional rendering cores

NVIDIA GRID RTX T10 8 's Advantages

Lower TDP (260W vs 300W)

Score

Benchmark

FP32 (float)

L40G +599%

89.97 TFLOPS

GRID RTX T10 8

12.86 TFLOPS

L40G

VS

GRID RTX T10 8

Graphics Card

Oct 2022

Release Date

Unknown

Tesla Ada

Generation

GRID

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1005 MHz

Base Clock

1065 MHz

2475 MHz

Boost Clock

1395 MHz

2250 MHz

Memory Clock

1750 MHz

Memory

24GB

Memory Size

8GB

GDDR6

Memory Type

GDDR6

384bit

Memory Bus

384bit

864.0GB/s

Bandwidth

672.0GB/s

Render Config

-

142

SM Count

72

18176

Shading Units

4608

568

TMUs

288

192

ROPs

96

568

Tensor Cores

576

142

RT Cores

72

128 KB (per SM)

L1 Cache

64 KB (per SM)

48 MB

L2 Cache

6 MB

-

Theoretical Performance

475.2 GPixel/s

Pixel Rate

133.9 GPixel/s

1406 GTexel/s

Texture Rate

401.8 GTexel/s

89.97 TFLOPS

FP16 (half)

25.71 TFLOPS

89.97 TFLOPS

FP32 (float)

12.86 TFLOPS

1406 GFLOPS

FP64 (double)

401.8 GFLOPS

Board Design

300W

TDP

260W

700 W

Suggested PSU

600 W

1x HDMI 2.1 3x DisplayPort 1.4a

Outputs

No outputs

1x 16-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

AD102

GPU Name

TU102

AD102-???-A1

GPU Variant

TU102-875-A1

Ada Lovelace

Architecture

Turing

TSMC

Foundry

TSMC

4 nm

Process Size

12 nm

76.3 billion

Transistors

18.6 billion

608 mm²

Die Size

754 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

7.5

6.6

Shader Model

6.6

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