NVIDIA A100 PCIe 80 GB vs NVIDIA B200

Comparison NVIDIA A100 PCIe 80 GB with 80 GB HBM2e and 6,912 cores vs NVIDIA B200 with 90 GB HBM3e and 18,944 cores.

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Performance Rating

NVIDIA B200 outperforms NVIDIA A100 PCIe 80 GB by 156.77% 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 B200

65.8

NVIDIA B200

65.8

Expert Comparison

NVIDIA A100 PCIe 80 GB лучше для обработки больших объемов данных и машинного обучения из-за большей памяти (80 ГБ HBM2e) и пропускной способности (1.94 TB/s). Она также потребляет меньше энергии (300 Вт) по сравнению с NVIDIA B200. NVIDIA B200 с архитектурой Blackwell и 90 ГБ HBM3e памяти обеспечивает более высокую производительность в FP32 (74.45 TFLOPS), что делает его предпочтительным для высоконагруженных вычислительных задач, но при этом требует значительно больше энергии (1000 Вт).

Contents:

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

Memory

Memory Size

80 GB
🔥 +12% 90 ГБ ×2 (180 ГБ)

Memory Type

HBM2e HBM3e

Memory Bandwidth

1.94 TB/s
🔥 +111% 4.10 TB/s ×2 (8.2 TB/s)

Memory Bus Width

5,120 бит 4,096 бит ×2 (8192 бит)

ML Performance

FP16 (Half Precision)

🔥 +6,446% 77.97 TFLOPS
1.1912 TFLOPS

BF16 (Brain Float)

🔥 311.84 TFLOPS
No

TF32 (TensorFloat)

🔥 155.92
No

Compute Power

FP32 (Single Precision)

19.49 TFLOPS
🔥 +282% 74.45 TFLOPS

FP64 (Double Precision)

9.746 TFLOPS
🔥 +282% 37.22 TFLOPS

CUDA Cores

6,912
🔥 +174% 18,944 ×2 (37888)

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Ampere Blackwell

SM (Streaming Multiprocessor)

108
🔥 +37% 148

PCIe Version

PCIe 4.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

8.0
🔥 10.0

CUDA Toolkit (first supported)

v11 v12

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +52% 1,065
700

Boost Clock

1,410
🔥 +39% 1,965

Memory Clock

1,512
🔥 +32% 2,000

Power Consumption

Recommended PSU

🔥 -50% 700 W
1400 W

Power Connector

8-pin EPS No

TDP/TGP

🔥 -70% 300 W
1000 W

Rendering

Texture Units (TMU)

432
🔥 +37% 592 ×2 (1184)

ROP

No No

L2 Cache

🔥 +60% 80 MB
50 MB

Benchmarks

llama.cpp, llama 7B Q4_0

315.9 tokens/s

Additional

Slots

Dual-slot
🔥 SXM Module

Release Date

June 28, 2021 March 13, 2024

Display Outputs

No outputs
No outputs

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