Home GPU Comparison NVIDIA Tesla K40d vs NVIDIA Tesla V100 FHHL

NVIDIA Tesla K40d vs NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 12GB VRAM Tesla K40d and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40d 's Advantages
Lower TDP (245W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
Released 4 years and 4 months late
Boost Clock has increased by 47% (1290MHz vs 876MHz)
More VRAM (16GB vs 12GB)
Larger VRAM bandwidth (829.4GB/s vs 288.4GB/s)
2240 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K40d
5.046 TFLOPS
Tesla V100 FHHL +161%
13.21 TFLOPS
VS

Graphics Card

Nov 2013
Release Date
Mar 2018
Tesla
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

745 MHz
Base Clock
937 MHz
876 MHz
Boost Clock
1290 MHz
1502 MHz
Memory Clock
810 MHz

Memory

12GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
288.4GB/s
Bandwidth
829.4GB/s

Render Config

-
-
-
-
SM Count
80
2880
Shading Units
5120
240
TMUs
320
48
ROPs
128
-
Tensor Cores
640
-
-
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1536 KB
L2 Cache
6 MB
-
-
-

Theoretical Performance

52.56 GPixel/s
Pixel Rate
165.1 GPixel/s
210.2 GTexel/s
Texture Rate
412.8 GTexel/s
-
FP16 (half)
26.42 TFLOPS
5.046 TFLOPS
FP32 (float)
13.21 TFLOPS
1.682 TFLOPS
FP64 (double)
6.605 TFLOPS

Board Design

245W
TDP
250W
550 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 8-pin

Graphics Processor

GK110B
GPU Name
GV100
-
-
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
7.08 billion
Transistors
21.1 billion
561 mm²
Die Size
815 mm²

Graphics Features

12 (11_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
7.0
5.1
Shader Model
6.6

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