Home GPU Comparison Intel Data Center GPU Flex 140 vs NVIDIA Tesla V100 FHHL

Intel Data Center GPU Flex 140 vs NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 16GB VRAM Tesla V100 FHHL 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 4 years and 5 months late
Boost Clock has increased by 51% (1950MHz vs 1290MHz)
Lower TDP (75W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (829.4GB/s vs 186.0GB/s)
4096 additional rendering cores

Score

Benchmark

FP32 (float)
Data Center GPU Flex 140
3.994 TFLOPS
Tesla V100 FHHL +230%
13.21 TFLOPS
VS

Graphics Card

Aug 2022
Release Date
Mar 2018
Data Center GPU
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16

Clock Speeds

1600 MHz
Base Clock
937 MHz
1950 MHz
Boost Clock
1290 MHz
1937 MHz
Memory Clock
810 MHz

Memory

6GB
Memory Size
16GB
GDDR6
Memory Type
HBM2
96bit
Memory Bus
4096bit
186.0GB/s
Bandwidth
829.4GB/s

Render Config

-
-
-
-
SM Count
80
1024
Shading Units
5120
64
TMUs
320
32
ROPs
128
-
Tensor Cores
640
8
RT Cores
-
-
L1 Cache
128 KB (per SM)
4 MB
L2 Cache
6 MB
-
-
-

Theoretical Performance

62.40 GPixel/s
Pixel Rate
165.1 GPixel/s
124.8 GTexel/s
Texture Rate
412.8 GTexel/s
7.987 TFLOPS
FP16 (half)
26.42 TFLOPS
3.994 TFLOPS
FP32 (float)
13.21 TFLOPS
-
FP64 (double)
6.605 TFLOPS

Board Design

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

Graphics Processor

DG2-128
GPU Name
GV100
ACM-G11
GPU Variant
-
Generation 12.7
Architecture
Volta
TSMC
Foundry
TSMC
6 nm
Process Size
12 nm
7.2 billion
Transistors
21.1 billion
157 mm²
Die Size
815 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
-
CUDA
7.0
6.6
Shader Model
6.6

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