NVIDIA Tesla V100 FHHL vs Intel Data Center GPU Flex 140
We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 6GB VRAM Data Center GPU Flex 140 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
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
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)
Score
Benchmark
FP32 (float)
Tesla V100 FHHL
+230%
13.21 TFLOPS
Data Center GPU Flex 140
3.994 TFLOPS
Graphics Card
Mar 2018
Release Date
Aug 2022
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x8
Clock Speeds
937 MHz
Base Clock
1600 MHz
1290 MHz
Boost Clock
1950 MHz
810 MHz
Memory Clock
1937 MHz
Memory
16GB
Memory Size
6GB
HBM2
Memory Type
GDDR6
4096bit
Memory Bus
96bit
829.4GB/s
Bandwidth
186.0GB/s
Render Config
-
-
-
80
SM Count
-
5120
Shading Units
1024
320
TMUs
64
128
ROPs
32
640
Tensor Cores
-
-
RT Cores
8
128 KB (per SM)
L1 Cache
-
6 MB
L2 Cache
4 MB
-
-
-
Theoretical Performance
165.1 GPixel/s
Pixel Rate
62.40 GPixel/s
412.8 GTexel/s
Texture Rate
124.8 GTexel/s
26.42 TFLOPS
FP16 (half)
7.987 TFLOPS
13.21 TFLOPS
FP32 (float)
3.994 TFLOPS
6.605 TFLOPS
FP64 (double)
-
Board Design
250W
TDP
75W
600 W
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1
3x DisplayPort 2.0
1x 8-pin
Power Connectors
1x 8-pin
Graphics Processor
GV100
GPU Name
DG2-128
-
GPU Variant
ACM-G11
Volta
Architecture
Generation 12.7
TSMC
Foundry
TSMC
12 nm
Process Size
6 nm
21.1 billion
Transistors
7.2 billion
815 mm²
Die Size
157 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
7.0
CUDA
-
6.6
Shader Model
6.6
