Home GPU Comparison NVIDIA Tesla V100 DGXS 32 GB vs NVIDIA GRID M6 8Q

NVIDIA Tesla V100 DGXS 32 GB vs NVIDIA GRID M6 8Q

NVIDIA Tesla V100 DGXS 32 GB
VS
NVIDIA GRID M6 8Q
NVIDIA Tesla V100 DGXS 32 GB
NVIDIA GRID M6 8Q
We compared two Professional market GPUs: 32GB VRAM Tesla V100 DGXS 32 GB and 8GB VRAM GRID M6 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 32 GB 's Advantages
Released 2 years and 7 months late
Boost Clock1530MHz
More VRAM (32GB vs 8GB)
Larger VRAM bandwidth (897.0GB/s vs 160.4GB/s)
3584 additional rendering cores
NVIDIA GRID M6 8Q 's Advantages
Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 DGXS 32 GB +606%
15.67 TFLOPS
GRID M6 8Q
2.218 TFLOPS
Tesla V100 DGXS 32 GB
VS
GRID M6 8Q

Graphics Card

Mar 2018
Release Date
Aug 2015
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1297 MHz
Base Clock
-
1530 MHz
Boost Clock
-
876 MHz
Memory Clock
1253 MHz

Memory

32GB
Memory Size
8GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
256bit
897.0GB/s
Bandwidth
160.4GB/s

Render Config

-
-
-
80
SM Count
-
5120
Shading Units
1536
320
TMUs
96
128
ROPs
64
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
48 KB (per SMM)
6 MB
L2 Cache
2 MB
-
-
-

Theoretical Performance

195.8 GPixel/s
Pixel Rate
46.21 GPixel/s
489.6 GTexel/s
Texture Rate
69.31 GTexel/s
31.33 TFLOPS
FP16 (half)
-
15.67 TFLOPS
FP32 (float)
2.218 TFLOPS
7.834 TFLOPS
FP64 (double)
69.31 GFLOPS

Board Design

250W
TDP
100W
600 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
None
Power Connectors
None

Graphics Processor

GV100
GPU Name
GM204
-
GPU Variant
GM204-995-A1
Volta
Architecture
Maxwell 2.0
TSMC
Foundry
TSMC
12 nm
Process Size
28 nm
21.1 billion
Transistors
5.2 billion
815 mm²
Die Size
398 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
5.2
6.6
Shader Model
6.4

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