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GPU Comparison
NVIDIA A10M vs NVIDIA GRID K160Q
NVIDIA A10M vs NVIDIA GRID K160Q
VS
NVIDIA A10M
NVIDIA GRID K160Q
We compared two Professional market GPUs: 24GB VRAM A10M and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA A10M 's Advantages
Released 8 years and 8 months late
Boost Clock1635MHz
More VRAM (24GB vs 1024GB)
Larger VRAM bandwidth (600.2GB/s vs 28.51GB/s)
6976 additional rendering cores
NVIDIA GRID K160Q 's Advantages
Lower TDP (130W vs 150W)
Score
Benchmark
FP32 (float)
A10M
+7090%
23.44 TFLOPS
GRID K160Q
0.326 TFLOPS
NVIDIA A10M
VS
NVIDIA GRID K160Q
Graphics Card
Feb 2022
Release Date
Jun 2013
Tesla Ampere
Generation
GRID
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
975 MHz
Base Clock
-
1635 MHz
Boost Clock
-
1563 MHz
Memory Clock
891 MHz
Memory
24GB
Memory Size
1024MB
GDDR6
Memory Type
DDR3
384bit
Memory Bus
128bit
600.2GB/s
Bandwidth
28.51GB/s
Render Config
-
-
-
56
SM Count
-
7168
Shading Units
192
224
TMUs
16
80
ROPs
16
224
Tensor Cores
-
56
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
6 MB
L2 Cache
256 KB
-
-
-
Theoretical Performance
130.8 GPixel/s
Pixel Rate
3.400 GPixel/s
366.2 GTexel/s
Texture Rate
13.60 GTexel/s
23.44 TFLOPS
FP16 (half)
-
23.44 TFLOPS
FP32 (float)
326.4 GFLOPS
732.5 GFLOPS
FP64 (double)
13.60 GFLOPS
Board Design
150W
TDP
130W
450 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
8-pin EPS
Power Connectors
-
Graphics Processor
GA102
GPU Name
GK107
-
-
-
Ampere
Architecture
Kepler
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
28.3 billion
Transistors
1.27 billion
628 mm²
Die Size
118 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
8.6
CUDA
3.0
6.7
Shader Model
5.1
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