NVIDIA A100 PCIe 80 GB vs NVIDIA H100 PCIe 80 GB

Comparison of NVIDIA A100 PCIe 80 GB with 80 GB HBM2e and 6,912 cores vs NVIDIA H100 PCIe 80 GB with 80 GB HBM2e and 14,592 cores.

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Performance Rating

NVIDIA H100 PCIe 80 GB outperforms NVIDIA A100 PCIe 80 GB by 71.87% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA A100 PCIe 80 GB

25.6

NVIDIA A100 PCIe 80 GB

25.6
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA H100 PCIe 80 GB

44.1

NVIDIA H100 PCIe 80 GB

44.1

Expert Comparison

NVIDIA H100 PCIe 80 GB обладает более мощной архитектурой Hopper и значительно превосходит NVIDIA A100 PCIe 80 GB по производительности FP32 (51.22 TFLOPS против 19.49 TFLOPS). H100 также имеет большее количество ядер (14592 против 6912) и немного выше пропускную способность (2.04 TB/s против 1.94 TB/s). Однако H100 потребляет больше энергии (350 Вт против 300 Вт) и предназначен для более современных и вычислительно интенсивных задач.

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks Additional

Memory

Memory Size

80 ГБ 80 ГБ

Memory Type

HBM2e HBM2e

Memory Bandwidth

1.94 TB/s
🔥 +5% 2.04 TB/s

Memory Bus Width

5,120 бит 5,120 бит

ML Performance

FP16 (Half Precision)

77.97 TFLOPS
🔥 +163% 204.9 TFLOPS

BF16 (Brain Float)

🔥 311.84 TFLOPS
No

TF32 (TensorFloat)

🔥 155.92
No

Compute Power

FP32 (Single Precision)

19.49 TFLOPS
🔥 +163% 51.22 TFLOPS

FP64 (Double Precision)

9.746 TFLOPS
🔥 +163% 25.61 TFLOPS

CUDA Cores

6,912
🔥 +111% 14,592

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Ampere Hopper

SM (Streaming Multiprocessor)

108
🔥 +6% 114

PCIe Version

PCIe 4.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

8.0
🔥 9.0

Clocks & Performance

Base Clock

1,065
🔥 +3% 1,095

Boost Clock

1,410
🔥 +24% 1,755

Memory Clock

1,512
🔥 +5% 1,593

Power Consumption

TDP/TGP

🔥 -14% 300 W
350 W

Recommended PSU

🔥 -7% 700 W
750 W

Power Connector

8-pin EPS 1x 16-pin

Rendering

Texture Units (TMU)

432
🔥 +6% 456

ROP

No No

L2 Cache

🔥 +60% 80 MB
50 MB

Benchmarks

MLPerf, llama2-70b-99.9 (fp8)

1 222 tokens/s

MLPerf, mixtral-8x7b (fp8)

3 466 tokens/s

Additional

Slots

Dual-slot Dual-slot

Release Date

June 28, 2021 Oct. 17, 2022

Display Outputs

No outputs
No outputs

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