Home GPU Comparison Intel Data Center GPU Flex 140 vs NVIDIA Tesla M40

Intel Data Center GPU Flex 140 vs NVIDIA Tesla M40

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 12GB VRAM Tesla M40 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Flex 140 's Advantages
Released 6 years and 9 months late
Boost Clock has increased by 75% (1950MHz vs 1112MHz)
Lower TDP (75W vs 250W)
NVIDIA Tesla M40 's Advantages
More VRAM (12GB vs 6GB)
Larger VRAM bandwidth (288.4GB/s vs 186.0GB/s)
2048 additional rendering cores

Score

Benchmark

FP32 (float)
Data Center GPU Flex 140
3.994 TFLOPS
Tesla M40 +71%
6.832 TFLOPS
VS

Graphics Card

Aug 2022
Release Date
Nov 2015
Data Center GPU
Generation
Tesla Maxwell
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16

Clock Speeds

1600 MHz
Base Clock
948 MHz
1950 MHz
Boost Clock
1112 MHz
1937 MHz
Memory Clock
1502 MHz

Memory

6GB
Memory Size
12GB
GDDR6
Memory Type
GDDR5
96bit
Memory Bus
384bit
186.0GB/s
Bandwidth
288.4GB/s

Render Config

-
-
-
-
-
-
1024
Shading Units
3072
64
TMUs
192
32
ROPs
96
-
-
-
8
RT Cores
-
-
L1 Cache
48 KB (per SMM)
4 MB
L2 Cache
3 MB
-
-
-

Theoretical Performance

62.40 GPixel/s
Pixel Rate
106.8 GPixel/s
124.8 GTexel/s
Texture Rate
213.5 GTexel/s
7.987 TFLOPS
FP16 (half)
-
3.994 TFLOPS
FP32 (float)
6.832 TFLOPS
-
FP64 (double)
213.5 GFLOPS

Board Design

75W
TDP
250W
250 W
Suggested PSU
600 W
1x HDMI 2.1 3x DisplayPort 2.0
Outputs
No outputs
1x 8-pin
Power Connectors
8-pin EPS

Graphics Processor

DG2-128
GPU Name
GM200
ACM-G11
GPU Variant
GM200-895-A1
Generation 12.7
Architecture
Maxwell 2.0
TSMC
Foundry
TSMC
6 nm
Process Size
28 nm
7.2 billion
Transistors
8 billion
157 mm²
Die Size
601 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
-
CUDA
5.2
6.6
Shader Model
6.7

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