NVIDIA A2 vs NVIDIA H200 SXM 141 GB

Comparison NVIDIA A2 with 16 GB GDDR6 and 1,280 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

NVIDIA H200 SXM 141 GB outperforms NVIDIA A2 by 1,601.52% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA A2

4.0

NVIDIA A2

4.0
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA H200 SXM 141 GB

67.4

NVIDIA H200 SXM 141 GB

67.4

Expert Comparison

NVIDIA A2 лучше для легких задач, таких как базовая графика,轻量级应用和入门级工作站。而NVIDIA H200 SXM则更适合高性能计算、深度学习和大规模数据处理,由于其更高的核心数、内存容量和带宽,性能远超A2。

Contents:

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

Memory

Memory Size

16 GB
🔥 +781% 141 ГБ

Memory Type

GDDR6 HBM3e

Memory Bandwidth

200.1 GB/s
🔥 4.89 TB/s

Memory Bus Width

128 бит 6,144 бит

ML Performance

FP16 (Half Precision)

4.531 TFLOPS
🔥 +5,806% 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

4.531 TFLOPS
🔥 +1,377% 66.91 TFLOPS

FP64 (Double Precision)

0.0708 TFLOPS
🔥 +47,146% 33.45 TFLOPS

CUDA Cores

1,280
🔥 +1,220% 16,896

RT Cores

🔥 10
No

Architecture & Compatibility

GPU Architecture

Ampere Hopper

SM (Streaming Multiprocessor)

10
🔥 +1,220% 132

PCIe Version

PCIe 4.0 x8 PCIe 5.0 x16

ML Software Support

CUDA Version

8.6
🔥 9.0

CUDA Toolkit (first supported)

v11 v12

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

1,440
🔥 +4% 1,500

Boost Clock

1,770
🔥 +12% 1,980

Memory Clock

1,563
🔥 +2% 1,593

Power Consumption

Recommended PSU

🔥 -77% 250 W
1100 W

Power Connector

None 8-pin EPS

TDP/TGP

🔥 -91% 60 W
700 W

Rendering

Texture Units (TMU)

40
🔥 +1,220% 528

ROP

🔥 10
No

L2 Cache

2 MB
🔥 +2,400% 50 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

3 534 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

3 553 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

2 444 tokens/s

MLPerf, llama3.1-405b (fp16)

40.8 tokens/s

MLPerf, llama3.1-405b (fp8)

25.3 tokens/s

MLPerf, llama3.1-8b (fp8)

5 161 tokens/s

MLPerf, deepseek-r1 (fp8)

1 113 tokens/s

MLPerf, mixtral-8x7b (fp8)

7 132 tokens/s

Additional

Slots

Single-slot
🔥 SXM Module

Release Date

Nov. 10, 2021 Nov. 18, 2024

Display Outputs

No outputs
No outputs

Rent on Intelion Cloud

H200 (141GB)

Available for rent on Intelion Cloud

from 375.0 RUB/hour Rent
Pay-as-you-go, per-second billing
Prices include 22% VAT
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