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

NVIDIA Tesla K8 vs Intel Data Center GPU Flex 170

We compared two Professional market GPUs: 8GB VRAM Tesla K8 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 Tesla K8 's Advantages
Lower TDP (100W vs 150W)
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

Score

Benchmark

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

Graphics Card

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

Clock Speeds

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

Memory

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

Render Config

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

Theoretical Performance

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

Graphics Processor

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

Board Design

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

Graphics Features

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

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