AMD Radeon Instinct MI300X vs NVIDIA H100 PCIe 80 GB

VS

AMD Radeon Instinct MI300X NVIDIA H100 PCIe 80 GB

AI GPU We compared a Professional market GPU: 192GB VRAM Radeon Instinct MI300X and a GPU: 80GB VRAM H100 PCIe 80 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon Instinct MI300X 's Advantages

Released 9 months late

Boost Clock has increased by 20% (2100MHz vs 1755MHz)

More VRAM (192GB vs 80GB)

Larger VRAM bandwidth (5171GB/s vs 2.04GB/s)

4864 additional rendering cores

NVIDIA H100 PCIe 80 GB 's Advantages

Lower TDP (350W vs 750W)

Score

Benchmark

FP32 (float)

Radeon Instinct MI300X +59%

81.72 TFLOPS

H100 PCIe 80 GB

51.22 TFLOPS

Radeon Instinct MI300X

VS

H100 PCIe 80 GB

Graphics Card

Dec 2023

Release Date

Mar 2023

Radeon Instinct

Generation

Tesla Hopper

Professional

Type

AI GPU

PCIe 5.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

1000 MHz

Base Clock

1095 MHz

2100 MHz

Boost Clock

1755 MHz

2525 MHz

Memory Clock

1593 MHz

Memory

192GB

Memory Size

80GB

HBM3

Memory Type

HBM2e

8192bit

Memory Bus

5120bit

5171GB/s

Bandwidth

2.04TB/s

Render Config

-

SM Count

114

304

Compute Units

-

19456

Shading Units

14592

1216

TMUs

456

0

ROPs

24

1216

Tensor Cores

456

-

RT Cores

-

16 KB (per CU)

L1 Cache

256 KB (per SM)

16 MB

L2 Cache

50 MB

Theoretical Performance

0 MPixel/s

Pixel Rate

42.12 GPixel/s

2554 GTexel/s

Texture Rate

800.3 GTexel/s

653.7 TFLOPS

FP16 (half)

204.9 TFLOPS

81.72 TFLOPS

FP32 (float)

51.22 TFLOPS

81.72 TFLOPS

FP64 (double)

25.61 TFLOPS

Graphics Processor

Aqua Vanjaram

GPU Name

GH100

-

GPU Variant

-

CDNA 3.0

Architecture

Hopper

TSMC

Foundry

TSMC

5 nm

Process Size

5 nm

153 billion

Transistors

80 billion

1017 mm²

Die Size

814 mm²

Board Design

750W

TDP

350W

1150 W

Suggested PSU

750 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 16-pin

Graphics Features

N/A

DirectX

N/A

OpenGL

N/A

3.0

OpenCL

3.0

N/A

Vulkan

N/A

-

CUDA

9.0

N/A

Shader Model

N/A

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