Home GPU Comparison NVIDIA A10M vs NVIDIA RTX 4000 SFF Ada Generation

NVIDIA A10M vs NVIDIA RTX 4000 SFF Ada Generation

We compared two Professional market GPUs: 24GB VRAM A10M and 20GB VRAM RTX 4000 SFF Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA A10M 's Advantages
Boost Clock has increased by 5% (1635MHz vs 1560MHz)
More VRAM (24GB vs 20GB)
Larger VRAM bandwidth (600.2GB/s vs 280.0GB/s)
1024 additional rendering cores
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 1 years and 1 months late
Lower TDP (70W vs 150W)

Score

Benchmark

FP32 (float)
A10M +22%
23.44 TFLOPS
RTX 4000 SFF Ada Generation
19.17 TFLOPS
VS

Graphics Card

Feb 2022
Release Date
Mar 2023
Tesla Ampere
Generation
Quadro Ada
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

975 MHz
Base Clock
720 MHz
1635 MHz
Boost Clock
1560 MHz
1563 MHz
Memory Clock
1750 MHz

Memory

24GB
Memory Size
20GB
GDDR6
Memory Type
GDDR6
384bit
Memory Bus
160bit
600.2GB/s
Bandwidth
280.0GB/s

Render Config

-
-
-
56
SM Count
48
7168
Shading Units
6144
224
TMUs
192
80
ROPs
80
224
Tensor Cores
192
56
RT Cores
48
128 KB (per SM)
L1 Cache
128 KB (per SM)
6 MB
L2 Cache
48 MB
-
-
-

Theoretical Performance

130.8 GPixel/s
Pixel Rate
124.8 GPixel/s
366.2 GTexel/s
Texture Rate
299.5 GTexel/s
23.44 TFLOPS
FP16 (half)
19.17 TFLOPS
23.44 TFLOPS
FP32 (float)
19.17 TFLOPS
732.5 GFLOPS
FP64 (double)
299.5 GFLOPS

Board Design

150W
TDP
70W
450 W
Suggested PSU
250 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
8-pin EPS
Power Connectors
None

Graphics Processor

GA102
GPU Name
AD104
-
-
-
Ampere
Architecture
Ada Lovelace
Samsung
Foundry
TSMC
8 nm
Process Size
5 nm
28.3 billion
Transistors
35.8 billion
628 mm²
Die Size
294 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.6
CUDA
8.9
6.7
Shader Model
6.7

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