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GPU Comparison
NVIDIA Quadro FX 1700M vs NVIDIA Tesla V100 SXM2 32 GB
NVIDIA Quadro FX 1700M vs NVIDIA Tesla V100 SXM2 32 GB
VS
NVIDIA Quadro FX 1700M
NVIDIA Tesla V100 SXM2 32 GB
We compared two Professional market GPUs: 512MB VRAM Quadro FX 1700M and 32GB VRAM Tesla V100 SXM2 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro FX 1700M 's Advantages
Lower TDP (50W vs 250W)
NVIDIA Tesla V100 SXM2 32 GB 's Advantages
Released 9 years and 5 months late
Boost Clock1530MHz
Larger VRAM bandwidth (897.0GB/s vs 25.60GB/s)
5088 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro FX 1700M
0.099 TFLOPS
Tesla V100 SXM2 32 GB
+15728%
15.67 TFLOPS
Quadro FX 1700M
VS
Tesla V100 SXM2 32 GB
Graphics Card
Oct 2008
Release Date
Mar 2018
Quadro FX Mobile
Generation
Tesla
Professional
Type
Professional
MXM-II
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
1290 MHz
-
Boost Clock
1530 MHz
800 MHz
Memory Clock
876 MHz
Memory
512MB
Memory Size
32GB
GDDR3
Memory Type
HBM2
128bit
Memory Bus
4096bit
25.60GB/s
Bandwidth
897.0GB/s
Render Config
4
SM Count
80
-
Compute Units
-
32
Shading Units
5120
16
TMUs
320
8
ROPs
128
-
Tensor Cores
640
-
RT Cores
-
-
L1 Cache
128 KB (per SM)
32 KB
L2 Cache
6 MB
Theoretical Performance
5.000 GPixel/s
Pixel Rate
195.8 GPixel/s
10.00 GTexel/s
Texture Rate
489.6 GTexel/s
-
FP16 (half)
31.33 TFLOPS
99.20 GFLOPS
FP32 (float)
15.67 TFLOPS
-
FP64 (double)
7.834 TFLOPS
Graphics Processor
G96
GPU Name
GV100
NB9P-GLM
GPU Variant
-
Tesla
Architecture
Volta
UMC
Foundry
TSMC
65 nm
Process Size
12 nm
0.314 billion
Transistors
21.1 billion
144 mm²
Die Size
815 mm²
Board Design
50W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
Power Connectors
None
Graphics Features
11.1 (10_0)
DirectX
12 (12_1)
3.3
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
1.1
CUDA
7.0
4.0
Shader Model
6.6
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