Home GPU Comparison NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA GRID M10 8Q

NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA GRID M10 8Q

We compared two Professional market GPUs: 32GB VRAM Tesla V100 SXM2 32 GB and 8GB VRAM GRID M10 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 32 GB 's Advantages
Released 1 years and 10 months late
Boost Clock has increased by 17% (1530MHz vs 1306MHz)
More VRAM (32GB vs 8GB)
Larger VRAM bandwidth (897.0GB/s vs 83.20GB/s)
4480 additional rendering cores
NVIDIA GRID M10 8Q 's Advantages
Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 32 GB +837%
15.67 TFLOPS
GRID M10 8Q
1.672 TFLOPS
VS

Graphics Card

Mar 2018
Release Date
May 2016
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1290 MHz
Base Clock
1033 MHz
1530 MHz
Boost Clock
1306 MHz
876 MHz
Memory Clock
1300 MHz

Memory

32GB
Memory Size
8GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
128bit
897.0GB/s
Bandwidth
83.20GB/s

Render Config

80
SM Count
-
-
Compute Units
-
5120
Shading Units
640
320
TMUs
40
128
ROPs
16
640
Tensor Cores
-
-
RT Cores
-
128 KB (per SM)
L1 Cache
64 KB (per SMM)
6 MB
L2 Cache
2 MB

Theoretical Performance

195.8 GPixel/s
Pixel Rate
20.90 GPixel/s
489.6 GTexel/s
Texture Rate
52.24 GTexel/s
31.33 TFLOPS
FP16 (half)
-
15.67 TFLOPS
FP32 (float)
1.672 TFLOPS
7.834 TFLOPS
FP64 (double)
52.24 GFLOPS

Graphics Processor

GV100
GPU Name
GM107
-
GPU Variant
GM107-570-A2
Volta
Architecture
Maxwell
TSMC
Foundry
TSMC
12 nm
Process Size
28 nm
21.1 billion
Transistors
1.87 billion
815 mm²
Die Size
148 mm²

Board Design

250W
TDP
225W
600 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
None
Power Connectors
1x 8-pin

Graphics Features

12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.0
CUDA
5.0
6.6
Shader Model
5.1

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