Home GPU Comparison NVIDIA Tesla V100 FHHL vs NVIDIA Quadro T1000 Mobile

NVIDIA Tesla V100 FHHL vs NVIDIA Quadro T1000 Mobile

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 4GB VRAM Quadro T1000 Mobile 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 4GB)
Larger VRAM bandwidth (829.4GB/s vs 128.1GB/s)
4224 additional rendering cores
NVIDIA Quadro T1000 Mobile 's Advantages
Released 1 years and 2 months late
Boost Clock has increased by 13% (1455MHz vs 1290MHz)
Lower TDP (50W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 FHHL +406%
13.21 TFLOPS
Quadro T1000 Mobile
2.607 TFLOPS
VS

Graphics Card

Mar 2018
Release Date
May 2019
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

937 MHz
Base Clock
1395 MHz
1290 MHz
Boost Clock
1455 MHz
810 MHz
Memory Clock
2001 MHz

Memory

16GB
Memory Size
4GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
128bit
829.4GB/s
Bandwidth
128.1GB/s

Render Config

-
-
-
80
SM Count
14
5120
Shading Units
896
320
TMUs
56
128
ROPs
32
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
64 KB (per SM)
6 MB
L2 Cache
1024 KB
-
-
-

Theoretical Performance

165.1 GPixel/s
Pixel Rate
46.56 GPixel/s
412.8 GTexel/s
Texture Rate
81.48 GTexel/s
26.42 TFLOPS
FP16 (half)
5.215 TFLOPS
13.21 TFLOPS
FP32 (float)
2.607 TFLOPS
6.605 TFLOPS
FP64 (double)
81.48 GFLOPS

Board Design

250W
TDP
50W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
None

Graphics Processor

GV100
GPU Name
TU117
-
-
-
Volta
Architecture
Turing
TSMC
Foundry
TSMC
12 nm
Process Size
12 nm
21.1 billion
Transistors
4.7 billion
815 mm²
Die Size
200 mm²

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.0
CUDA
7.5
6.6
Shader Model
6.6

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