Home GPU Comparison Intel Data Center GPU Flex 170 vs NVIDIA Tesla K8

Intel Data Center GPU Flex 170 vs NVIDIA Tesla K8

We compared two Professional market GPUs: 16GB VRAM Data Center GPU Flex 170 and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Flex 170 's Advantages
Released 7 years and 11 months late
Boost Clock has increased by 153% (2050MHz vs 811MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (512.0GB/s vs 160.0GB/s)
2560 additional rendering cores
NVIDIA Tesla K8 's Advantages
Lower TDP (100W vs 150W)

Score

Benchmark

FP32 (float)
Data Center GPU Flex 170 +574%
16.79 TFLOPS
Tesla K8
2.491 TFLOPS

Graphics Card

Aug 2022
Release Date
Sep 2014
Data Center GPU
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

1950 MHz
Base Clock
693 MHz
2050 MHz
Boost Clock
811 MHz
2000 MHz
Memory Clock
1250 MHz

Memory

16GB
Memory Size
8GB
GDDR6
Memory Type
GDDR5
256bit
Memory Bus
256bit
512.0GB/s
Bandwidth
160.0GB/s

Render Config

-
-
-
-
-
-
4096
Shading Units
1536
256
TMUs
128
128
ROPs
32
-
-
-
32
RT Cores
-
-
L1 Cache
16 KB (per SMX)
16 MB
L2 Cache
512 KB
-
-
-

Theoretical Performance

262.4 GPixel/s
Pixel Rate
25.95 GPixel/s
524.8 GTexel/s
Texture Rate
103.8 GTexel/s
33.59 TFLOPS
FP16 (half)
-
16.79 TFLOPS
FP32 (float)
2.491 TFLOPS
-
FP64 (double)
103.8 GFLOPS

Board Design

150W
TDP
100W
450 W
Suggested PSU
300 W
1x HDMI 2.1 3x DisplayPort 2.0
Outputs
No outputs
1x 8-pin
Power Connectors
1x 6-pin

Graphics Processor

DG2-512
GPU Name
GK104
ACM-G10
GPU Variant
-
Generation 12.7
Architecture
Kepler
TSMC
Foundry
TSMC
6 nm
Process Size
28 nm
21.7 billion
Transistors
3.54 billion
406 mm²
Die Size
294 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
-
CUDA
3.0
6.6
Shader Model
5.1
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