A10G vs RTX 4000 SFF Ada Generation
We compared two Professional market GPUs: 12GB VRAM A10G and 16GB VRAM RTX 4000 SFF Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
A10G 's Advantages
Released 2 years and 5 months late
5376 additional rendering cores
Lower TDP (150W vs 300W)
RTX 4000 SFF Ada Generation 's Advantages
Boost Clock has increased by 2% (1746MHz vs 1710MHz)
More VRAM (16GB vs 12GB)
Larger VRAM bandwidth (1.02TB/s vs 600.2GB/s)
Score
Benchmark
FP32 (float)
A10G
+135%
31520
RTX 4000 SFF Ada Generation
13410
Blender
A10G
3589
RTX 4000 SFF Ada Generation
+3%
3717
Graphics Card
Apr 2021
Release Date
Nov 2018
Tesla
Generation
Radeon Instinct
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
1320 MHz
Base Clock
1200 MHz
1710 MHz
Boost Clock
1746 MHz
1563 MHz
Memory Clock
1000 MHz
Memory
12GB
Memory Size
16GB
GDDR6
Memory Type
HBM2
384bit
Memory Bus
4096bit
600.2GB/s
Bandwidth
1.02TB/s
Render Config
-
Compute Units
60
72
SM Count
48
9216
Shading Units
3840
288
TMUs
240
96
ROPs
64
288
Tensor Cores
192
72
RT Cores
48
128 KB (per SM)
L1 Cache
16 KB (per CU)
6 MB
L2 Cache
4 MB
Theoretical Performance
164.2 GPixel/s
Pixel Rate
111.7 GPixel/s
492.5 GTexel/s
Texture Rate
419.0 GTexel/s
31.52 TFLOPS
FP16 (half)
26.82 TFLOPS
31.52 TFLOPS
FP32 (float)
13.41 TFLOPS
985.0 GFLOPS
FP64 (double)
6.705 TFLOPS
Board Design
150W
TDP
300W
450 W
Suggested PSU
700 W
No outputs
Outputs
1x mini-DisplayPort 1.4a
8-pin EPS
Power Connectors
2x 8-pin
Graphics Processor
GA102
GPU Name
Vega 20
GA102-890-A1
GPU Variant
Vega 20 GLXT
Ampere
Architecture
GCN 5.1
Samsung
Foundry
TSMC
8 nm
Process Size
7 nm
28.3 billion
Transistors
13.23 billion
628 mm²
Die Size
331 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
2.1
1.3
Vulkan
1.3
8.6
CUDA
8.9
6.6
Shader Model
6.7
