Home GPU Comparison NVIDIA A10M vs Intel Data Center GPU Flex 140

NVIDIA A10M vs Intel Data Center GPU Flex 140

We compared two Professional market GPUs: 24GB VRAM A10M and 6GB VRAM Data Center GPU Flex 140 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA A10M 's Advantages
More VRAM (24GB vs 6GB)
Larger VRAM bandwidth (600.2GB/s vs 186.0GB/s)
6144 additional rendering cores
Intel Data Center GPU Flex 140 's Advantages
Released 6 months late
Boost Clock has increased by 19% (1950MHz vs 1635MHz)
Lower TDP (75W vs 150W)

Score

Benchmark

FP32 (float)
A10M +486%
23.44 TFLOPS
Data Center GPU Flex 140
3.994 TFLOPS

Graphics Card

Feb 2022
Release Date
Aug 2022
Tesla Ampere
Generation
Data Center GPU
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x8

Clock Speeds

975 MHz
Base Clock
1600 MHz
1635 MHz
Boost Clock
1950 MHz
1563 MHz
Memory Clock
1937 MHz

Memory

24GB
Memory Size
6GB
GDDR6
Memory Type
GDDR6
384bit
Memory Bus
96bit
600.2GB/s
Bandwidth
186.0GB/s

Render Config

-
-
-
56
SM Count
-
7168
Shading Units
1024
224
TMUs
64
80
ROPs
32
224
Tensor Cores
-
56
RT Cores
8
128 KB (per SM)
L1 Cache
-
6 MB
L2 Cache
4 MB
-
-
-

Theoretical Performance

130.8 GPixel/s
Pixel Rate
62.40 GPixel/s
366.2 GTexel/s
Texture Rate
124.8 GTexel/s
23.44 TFLOPS
FP16 (half)
7.987 TFLOPS
23.44 TFLOPS
FP32 (float)
3.994 TFLOPS
732.5 GFLOPS
FP64 (double)
-

Board Design

150W
TDP
75W
450 W
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
8-pin EPS
Power Connectors
1x 8-pin

Graphics Processor

GA102
GPU Name
DG2-128
-
GPU Variant
ACM-G11
Ampere
Architecture
Generation 12.7
Samsung
Foundry
TSMC
8 nm
Process Size
6 nm
28.3 billion
Transistors
7.2 billion
628 mm²
Die Size
157 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.6
CUDA
-
6.7
Shader Model
6.6
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