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

Intel Data Center GPU Flex 140 vs NVIDIA A10M

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

Score

Benchmark

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

Graphics Card

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

Clock Speeds

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

Memory

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

Render Config

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

Theoretical Performance

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

Board Design

75W
TDP
150W
250 W
Suggested PSU
450 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
GA102
ACM-G11
GPU Variant
-
Generation 12.7
Architecture
Ampere
TSMC
Foundry
Samsung
6 nm
Process Size
8 nm
7.2 billion
Transistors
28.3 billion
157 mm²
Die Size
628 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
-
CUDA
8.6
6.6
Shader Model
6.7
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