NVIDIA Tesla M2070 vs Intel Data Center GPU Max 1100

VS

NVIDIA Tesla M2070

Intel Data Center GPU Max 1100

We compared two Professional market GPUs: 6GB VRAM Tesla M2070 and 48GB VRAM Data Center GPU Max 1100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla M2070 's Advantages

Lower TDP (225W vs 300W)

Intel Data Center GPU Max 1100 's Advantages

Released 11 years and 6 months late

Boost Clock1550MHz

More VRAM (48GB vs 6GB)

Larger VRAM bandwidth (1229GB/s vs 150.3GB/s)

6720 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla M2070

1.03 TFLOPS

Data Center GPU Max 1100 +2057%

22.22 TFLOPS

Tesla M2070

VS

Data Center GPU Max 1100

Graphics Card

Jul 2011

Release Date

Jan 2023

Tesla

Generation

Data Center GPU

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

-

Base Clock

1000 MHz

-

Boost Clock

1550 MHz

783 MHz

Memory Clock

600 MHz

Memory

6GB

Memory Size

48GB

GDDR5

Memory Type

HBM2e

384bit

Memory Bus

8192bit

150.3GB/s

Bandwidth

1229GB/s

Render Config

-

14

SM Count

-

448

Shading Units

7168

56

TMUs

448

48

ROPs

0

-

Tensor Cores

448

-

RT Cores

56

64 KB (per SM)

L1 Cache

64 KB (per EU)

768 KB

L2 Cache

204 MB

-

Theoretical Performance

16.07 GPixel/s

Pixel Rate

0 MPixel/s

32.14 GTexel/s

Texture Rate

694.4 GTexel/s

-

FP16 (half)

22.22 TFLOPS

1030 GFLOPS

FP32 (float)

22.22 TFLOPS

515.2 GFLOPS

FP64 (double)

22.22 TFLOPS

Board Design

225W

TDP

300W

550 W

Suggested PSU

700 W

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

1x 12-pin

Graphics Processor

GF100

GPU Name

Ponte Vecchio

-

Fermi

Architecture

Generation 12.5

TSMC

Foundry

Intel

40 nm

Process Size

10 nm

3.1 billion

Transistors

100 billion

529 mm²

Die Size

1280 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

N/A

2.0

CUDA

-

5.1

Shader Model

6.6

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