Home GPU Comparison NVIDIA GRID M60 8Q vs NVIDIA Tesla V100 SXM2 32 GB

NVIDIA GRID M60 8Q vs NVIDIA Tesla V100 SXM2 32 GB

We compared two Professional market GPUs: 8GB VRAM GRID M60 8Q and 32GB VRAM Tesla V100 SXM2 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID M60 8Q 's Advantages
Lower TDP (225W vs 250W)
NVIDIA Tesla V100 SXM2 32 GB 's Advantages
Released 2 years and 7 months late
Boost Clock has increased by 30% (1530MHz vs 1178MHz)
More VRAM (32GB vs 8GB)
Larger VRAM bandwidth (897.0GB/s vs 160.4GB/s)
3072 additional rendering cores

Score

Benchmark

FP32 (float)
GRID M60 8Q
4.825 TFLOPS
Tesla V100 SXM2 32 GB +224%
15.67 TFLOPS
VS

Graphics Card

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

Clock Speeds

557 MHz
Base Clock
1290 MHz
1178 MHz
Boost Clock
1530 MHz
1253 MHz
Memory Clock
876 MHz

Memory

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

Render Config

-
SM Count
80
-
Compute Units
-
2048
Shading Units
5120
128
TMUs
320
64
ROPs
128
-
Tensor Cores
640
-
RT Cores
-
48 KB (per SMM)
L1 Cache
128 KB (per SM)
2 MB
L2 Cache
6 MB

Theoretical Performance

75.39 GPixel/s
Pixel Rate
195.8 GPixel/s
150.8 GTexel/s
Texture Rate
489.6 GTexel/s
-
FP16 (half)
31.33 TFLOPS
4.825 TFLOPS
FP32 (float)
15.67 TFLOPS
150.8 GFLOPS
FP64 (double)
7.834 TFLOPS

Graphics Processor

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

Board Design

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

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.2
CUDA
7.0
6.4
Shader Model
6.6

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