AMD Instinct MI300A vs NVIDIA L40 CNX

VS

We compared two Professional market GPUs: 128GB VRAM AMD Instinct MI300A and 24GB VRAM L40 CNX to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Instinct MI300A 's Advantages

Released 1 years and 2 months late

More VRAM (128GB vs 24GB)

Larger VRAM bandwidth (5300GB/s vs 864.0GB/s)

NVIDIA L40 CNX 's Advantages

Boost Clock has increased by 18% (2475MHz vs 2100MHz)

3584 additional rendering cores

Lower TDP (300W vs 760W)

Score

Benchmark

FP32 (float)

AMD Instinct MI300A +36%

122.6 TFLOPS

L40 CNX

89.97 TFLOPS

AMD Instinct MI300A

VS

L40 CNX

Graphics Card

Dec 2023

Release Date

Oct 2022

Instinct

Generation

Tesla Ada

Professional

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

1000 MHz

Base Clock

1005 MHz

2100 MHz

Boost Clock

2475 MHz

5200 MHz

Memory Clock

2250 MHz

Memory

128GB

Memory Size

24GB

HBM3

Memory Type

GDDR6

8192bit

Memory Bus

384bit

5300GB/s

Bandwidth

864.0GB/s

Render Config

-

SM Count

142

228

Compute Units

-

14592

Shading Units

18176

880

TMUs

568

0

ROPs

192

-

Tensor Cores

568

-

RT Cores

142

16 KB (per CU)

L1 Cache

128 KB (per SM)

16 MB

L2 Cache

48 MB

Theoretical Performance

0 MPixel/s

Pixel Rate

475.2 GPixel/s

1496 GTexel/s

Texture Rate

1406 GTexel/s

980.6 TFLOPS

FP16 (half)

89.97 TFLOPS

122.6 TFLOPS

FP32 (float)

89.97 TFLOPS

61.3 TFLOPS

FP64 (double)

1406 GFLOPS

Graphics Processor

MI300

GPU Name

AD102

-

GPU Variant

AD102-???-A1

CDNA 3.0

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

5 nm

Process Size

4 nm

146 billion

Transistors

76.3 billion

1017 mm²

Die Size

608 mm²

Board Design

760W

TDP

300W

1000 W

Suggested PSU

700 W

No outputs

Outputs

1x HDMI 2.1 3x DisplayPort 1.4a

None

Power Connectors

1x 16-pin

Graphics Features

N/A

DirectX

12 Ultimate (12_2)

N/A

OpenGL

4.6

3.0

OpenCL

3.0

N/A

Vulkan

1.3

-

CUDA

8.9

N/A

Shader Model

6.6

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