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GPU Comparison
NVIDIA Tesla K20Xm vs NVIDIA RTX 4000 SFF Ada Generation
NVIDIA Tesla K20Xm vs NVIDIA RTX 4000 SFF Ada Generation
VS
NVIDIA Tesla K20Xm
NVIDIA RTX 4000 SFF Ada Generation
We compared two Professional market GPUs: 6GB VRAM Tesla K20Xm 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 RTX 4000 SFF Ada Generation 's Advantages
Released 10 years and 4 months late
Boost Clock1560MHz
More VRAM (20GB vs 6GB)
Larger VRAM bandwidth (280.0GB/s vs 249.6GB/s)
3456 additional rendering cores
Lower TDP (70W vs 235W)
Score
Benchmark
FP32 (float)
Tesla K20Xm
3.935 TFLOPS
RTX 4000 SFF Ada Generation
+387%
19.17 TFLOPS
Blender
Tesla K20Xm
372
RTX 4000 SFF Ada Generation
+900%
3723
Tesla K20Xm
VS
RTX 4000 SFF Ada Generation
Graphics Card
Nov 2012
Release Date
Mar 2023
Tesla
Generation
Quadro Ada
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
-
Base Clock
720 MHz
-
Boost Clock
1560 MHz
1300 MHz
Memory Clock
1750 MHz
Memory
6GB
Memory Size
20GB
GDDR5
Memory Type
GDDR6
384bit
Memory Bus
160bit
249.6GB/s
Bandwidth
280.0GB/s
Render Config
-
SM Count
48
-
Compute Units
-
2688
Shading Units
6144
224
TMUs
192
48
ROPs
80
-
Tensor Cores
192
-
RT Cores
48
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1536 KB
L2 Cache
48 MB
Theoretical Performance
40.99 GPixel/s
Pixel Rate
124.8 GPixel/s
164.0 GTexel/s
Texture Rate
299.5 GTexel/s
-
FP16 (half)
19.17 TFLOPS
3.935 TFLOPS
FP32 (float)
19.17 TFLOPS
1312 GFLOPS
FP64 (double)
299.5 GFLOPS
Graphics Processor
GK110
GPU Name
AD104
-
GPU Variant
-
Kepler
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
28 nm
Process Size
5 nm
7.08 billion
Transistors
35.8 billion
561 mm²
Die Size
294 mm²
Board Design
235W
TDP
70W
550 W
Suggested PSU
250 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
-
Power Connectors
None
Graphics Features
12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
8.9
5.1
Shader Model
6.7
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