Home GPU Comparison NVIDIA Quadro T1000 Max Q vs NVIDIA Tesla V100 FHHL

NVIDIA Quadro T1000 Max Q vs NVIDIA Tesla V100 FHHL

NVIDIA Quadro T1000 Max Q
VS
NVIDIA Tesla V100 FHHL
NVIDIA Quadro T1000 Max Q
NVIDIA Tesla V100 FHHL
We compared two Professional market GPUs: 4GB VRAM Quadro T1000 Max Q and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro T1000 Max Q 's Advantages
Released 1 years and 2 months late
Boost Clock has increased by 5% (1350MHz vs 1290MHz)
Lower TDP (50W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (829.4GB/s vs 80.00GB/s)
4224 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro T1000 Max Q
2.419 TFLOPS
Tesla V100 FHHL +446%
13.21 TFLOPS
Quadro T1000 Max Q
VS
Tesla V100 FHHL

Graphics Card

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

Clock Speeds

765 MHz
Base Clock
937 MHz
1350 MHz
Boost Clock
1290 MHz
1250 MHz
Memory Clock
810 MHz

Memory

4GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
128bit
Memory Bus
4096bit
80.00GB/s
Bandwidth
829.4GB/s

Render Config

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

Theoretical Performance

43.20 GPixel/s
Pixel Rate
165.1 GPixel/s
75.60 GTexel/s
Texture Rate
412.8 GTexel/s
4.838 TFLOPS
FP16 (half)
26.42 TFLOPS
2.419 TFLOPS
FP32 (float)
13.21 TFLOPS
75.60 GFLOPS
FP64 (double)
6.605 TFLOPS

Board Design

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

Graphics Processor

TU117
GPU Name
GV100
-
-
-
Turing
Architecture
Volta
TSMC
Foundry
TSMC
12 nm
Process Size
12 nm
4.7 billion
Transistors
21.1 billion
200 mm²
Die Size
815 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
7.5
CUDA
7.0
6.6
Shader Model
6.6

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