NVIDIA A100 PCIe 80 GB vs NVIDIA GeForce RTX 2070 Max-Q Refresh

Comparison NVIDIA A100 PCIe 80 GB with 80 GB HBM2e and 6,912 cores vs NVIDIA GeForce RTX 2070 Max-Q Refresh with 8 GB GDDR6 and 2,304 cores.

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Performance Rating

NVIDIA A100 PCIe 80 GB outperforms NVIDIA GeForce RTX 2070 Max-Q Refresh by 455.97% 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 GeForce RTX 2070 Max-Q Refresh

4.6

NVIDIA GeForce RTX 2070 Max-Q Refresh

4.6

Expert Comparison

NVIDIA A100 PCIe 80 GB намного сильнее NVIDIA GeForce RTX 2070 Max-Q Refresh по всем параметрам: больше ядер, большая память, гораздо больший объем и скорость обработки данных, а также значительно выше TDP. A100 лучше подходит для вычислительной задачи, машинного обучения и других интенсивных вычислений. RTX 2070 Max-Q Refresh лучше для игр и легких задач, требующих графику.

Contents:

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

Memory

Memory Size

🔥 +900% 80 ГБ
8 GB

Memory Type

HBM2e GDDR6

Memory Bandwidth

🔥 1.94 TB/s
352.0 GB/s

Memory Bus Width

5,120 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 +652% 77.97 TFLOPS
10.37 TFLOPS

BF16 (Brain Float)

🔥 311.84 TFLOPS
No

TF32 (TensorFloat)

🔥 155.92
No

Compute Power

FP32 (Single Precision)

🔥 +276% 19.49 TFLOPS
5.184 TFLOPS

FP64 (Double Precision)

🔥 +5,916% 9.746 TFLOPS
0.162 TFLOPS

CUDA Cores

🔥 +200% 6,912
2,304

RT Cores

No
🔥 36

Architecture & Compatibility

GPU Architecture

Ampere Turing

SM (Streaming Multiprocessor)

🔥 +200% 108
36

PCIe Version

PCIe 4.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 8.0
7.5

CUDA Toolkit (first supported)

v11 v10

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

🔥 +18% 1,065
900

Boost Clock

🔥 +25% 1,410
1,125

Memory Clock

🔥 +10% 1,512
1,375

Power Consumption

Recommended PSU

700 W No

Power Connector

8-pin EPS None

TDP/TGP

300 W
🔥 -62% 115 W

Rendering

Texture Units (TMU)

🔥 +200% 432
144

ROP

No
🔥 36

L2 Cache

🔥 +1,900% 80 MB
4 MB

Additional

Slots

Dual-slot MXM Module

Release Date

June 28, 2021 March 4, 2020

Display Outputs

No outputs
Portable Device Dependent

Rent on Intelion Cloud

Tesla A100 (80GB)

Available for rent on Intelion Cloud

from 200.89 RUB/hour Rent
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