NVIDIA Tesla C2070 vs NVIDIA Quadro GV100
We compared two Professional market GPUs: 6GB VRAM Tesla C2070 and 32GB VRAM Quadro GV100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla C2070 's Advantages
Lower TDP (238W vs 250W)
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 143.4GB/s)
4672 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla C2070
1.028 TFLOPS
Quadro GV100
+1520%
16.66 TFLOPS
Graphics Card
Jul 2011
Release Date
Mar 2018
Tesla
Generation
Quadro Volta
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
1132 MHz
-
Boost Clock
1627 MHz
747 MHz
Memory Clock
848 MHz
Memory
6GB
Memory Size
32GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
143.4GB/s
Bandwidth
868.4GB/s
Render Config
-
-
-
14
SM Count
80
448
Shading Units
5120
56
TMUs
320
48
ROPs
128
-
Tensor Cores
640
-
-
-
64 KB (per SM)
L1 Cache
128 KB (per SM)
768 KB
L2 Cache
6 MB
-
-
-
Theoretical Performance
16.07 GPixel/s
Pixel Rate
208.3 GPixel/s
32.14 GTexel/s
Texture Rate
520.6 GTexel/s
-
FP16 (half)
33.32 TFLOPS
1028 GFLOPS
FP32 (float)
16.66 TFLOPS
513.9 GFLOPS
FP64 (double)
8.330 TFLOPS
Board Design
238W
TDP
250W
550 W
Suggested PSU
600 W
1x DVI
Outputs
4x DisplayPort 1.4a
1x 8-pin
Power Connectors
1x 8-pin
Graphics Processor
GF100
GPU Name
GV100
-
GPU Variant
GV100-875-A1
Fermi
Architecture
Volta
TSMC
Foundry
TSMC
40 nm
Process Size
12 nm
3.1 billion
Transistors
21.1 billion
529 mm²
Die Size
815 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
7.0
5.1
Shader Model
6.7
