Home GPU Comparison NVIDIA GRID M6 8Q vs Intel Data Center GPU Flex 170

NVIDIA GRID M6 8Q vs Intel Data Center GPU Flex 170

We compared two Professional market GPUs: 8GB VRAM GRID M6 8Q and 16GB VRAM Data Center GPU Flex 170 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID M6 8Q 's Advantages
Lower TDP (100W vs 150W)
Intel Data Center GPU Flex 170 's Advantages
Released 7 years late
Boost Clock2050MHz
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (512.0GB/s vs 160.4GB/s)
2560 additional rendering cores

Score

Benchmark

FP32 (float)
GRID M6 8Q
2.218 TFLOPS
Data Center GPU Flex 170 +656%
16.79 TFLOPS
VS

Graphics Card

Aug 2015
Release Date
Aug 2022
GRID
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

-
Base Clock
1950 MHz
-
Boost Clock
2050 MHz
1253 MHz
Memory Clock
2000 MHz

Memory

8GB
Memory Size
16GB
GDDR5
Memory Type
GDDR6
256bit
Memory Bus
256bit
160.4GB/s
Bandwidth
512.0GB/s

Render Config

-
-
-
-
-
-
1536
Shading Units
4096
96
TMUs
256
64
ROPs
128
-
-
-
-
RT Cores
32
48 KB (per SMM)
L1 Cache
-
2 MB
L2 Cache
16 MB
-
-
-

Theoretical Performance

46.21 GPixel/s
Pixel Rate
262.4 GPixel/s
69.31 GTexel/s
Texture Rate
524.8 GTexel/s
-
FP16 (half)
33.59 TFLOPS
2.218 TFLOPS
FP32 (float)
16.79 TFLOPS
69.31 GFLOPS
FP64 (double)
-

Board Design

100W
TDP
150W
300 W
Suggested PSU
450 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
None
Power Connectors
1x 8-pin

Graphics Processor

GM204
GPU Name
DG2-512
GM204-995-A1
GPU Variant
ACM-G10
Maxwell 2.0
Architecture
Generation 12.7
TSMC
Foundry
TSMC
28 nm
Process Size
6 nm
5.2 billion
Transistors
21.7 billion
398 mm²
Die Size
406 mm²

Graphics Features

12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.2
CUDA
-
6.4
Shader Model
6.6

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