NVIDIA Quadro GV100 vs NVIDIA Tesla M2070 Q
We compared two Professional market GPUs: 32GB VRAM Quadro GV100 and 6GB VRAM Tesla M2070 Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro GV100 's Advantages
Released 6 years and 8 months late
Boost Clock1627MHz
More VRAM (32GB vs 6GB)
Larger VRAM bandwidth (868.4GB/s vs 150.3GB/s)
4672 additional rendering cores
NVIDIA Tesla M2070 Q 's Advantages
Lower TDP (225W vs 250W)
Score
Benchmark
FP32 (float)
Quadro GV100
+1520%
16.66 TFLOPS
Tesla M2070 Q
1.028 TFLOPS
Graphics Card
Mar 2018
Release Date
Jul 2011
Quadro Volta
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1132 MHz
Base Clock
-
1627 MHz
Boost Clock
-
848 MHz
Memory Clock
783 MHz
Memory
32GB
Memory Size
6GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
384bit
868.4GB/s
Bandwidth
150.3GB/s
Render Config
-
-
-
80
SM Count
14
5120
Shading Units
448
320
TMUs
56
128
ROPs
48
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
64 KB (per SM)
6 MB
L2 Cache
768 KB
-
-
-
Theoretical Performance
208.3 GPixel/s
Pixel Rate
16.07 GPixel/s
520.6 GTexel/s
Texture Rate
32.14 GTexel/s
33.32 TFLOPS
FP16 (half)
-
16.66 TFLOPS
FP32 (float)
1028 GFLOPS
8.330 TFLOPS
FP64 (double)
513.9 GFLOPS
Board Design
250W
TDP
225W
600 W
Suggested PSU
550 W
4x DisplayPort 1.4a
Outputs
No outputs
1x 8-pin
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
GV100
GPU Name
GF100
GV100-875-A1
GPU Variant
GF100-876-A1
Volta
Architecture
Fermi
TSMC
Foundry
TSMC
12 nm
Process Size
40 nm
21.1 billion
Transistors
3.1 billion
815 mm²
Die Size
529 mm²
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
7.0
CUDA
2.0
6.7
Shader Model
5.1
