RTX 4000 SFF Ada Generation vs Data Center GPU Flex 140
We compared two Professional market GPUs: 16GB VRAM RTX 4000 SFF Ada Generation and 6GB VRAM Data Center GPU Flex 140 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
RTX 4000 SFF Ada Generation 's Advantages
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (1.02TB/s vs 186.0GB/s)
2816 additional rendering cores
Data Center GPU Flex 140 's Advantages
Released 3 years and 9 months late
Boost Clock has increased by 12% (1950MHz vs 1746MHz)
Lower TDP (75W vs 300W)
Score
Benchmark
FP32 (float)
RTX 4000 SFF Ada Generation
+235%
13410
Data Center GPU Flex 140
3994
Graphics Card
Nov 2018
Release Date
Aug 2022
Radeon Instinct
Generation
Data Center GPU
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x8
Clock Speeds
1200 MHz
Base Clock
1600 MHz
1746 MHz
Boost Clock
1950 MHz
1000 MHz
Memory Clock
1937 MHz
Memory
16GB
Memory Size
6GB
HBM2
Memory Type
GDDR6
4096bit
Memory Bus
96bit
1.02TB/s
Bandwidth
186.0GB/s
Render Config
60
Compute Units
-
48
SM Count
-
3840
Shading Units
1024
240
TMUs
64
64
ROPs
32
192
Tensor Cores
-
48
RT Cores
8
16 KB (per CU)
L1 Cache
-
4 MB
L2 Cache
4 MB
Theoretical Performance
111.7 GPixel/s
Pixel Rate
62.40 GPixel/s
419.0 GTexel/s
Texture Rate
124.8 GTexel/s
26.82 TFLOPS
FP16 (half)
7.987 TFLOPS
13.41 TFLOPS
FP32 (float)
3.994 TFLOPS
6.705 TFLOPS
FP64 (double)
-
Board Design
300W
TDP
75W
700 W
Suggested PSU
250 W
1x mini-DisplayPort 1.4a
Outputs
1x HDMI 2.1
3x DisplayPort 2.0
2x 8-pin
Power Connectors
1x 8-pin
Graphics Processor
Vega 20
GPU Name
DG2-128
Vega 20 GLXT
GPU Variant
ACM-G11
GCN 5.1
Architecture
Generation 12.7
TSMC
Foundry
TSMC
7 nm
Process Size
6 nm
13.23 billion
Transistors
7.2 billion
331 mm²
Die Size
157 mm²
Graphics Features
12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
2.1
OpenCL
3.0
1.3
Vulkan
1.3
8.9
CUDA
-
6.7
Shader Model
6.6
