NVIDIA RTX 4000 SFF Ada Generation vs NVIDIA Tesla K20m
We compared two Professional market GPUs: 16GB VRAM RTX 4000 SFF Ada Generation and 5GB VRAM Tesla K20m 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 5 years and 10 months late
Boost Clock1746MHz
More VRAM (16GB vs 5GB)
Larger VRAM bandwidth (1.02TB/s vs 208.0GB/s)
1344 additional rendering cores
NVIDIA Tesla K20m 's Advantages
Lower TDP (225W vs 300W)
Score
Benchmark
FP32 (float)
RTX 4000 SFF Ada Generation
+280%
13.41 TFLOPS
Tesla K20m
3.524 TFLOPS
Graphics Card
Nov 2018
Release Date
Jan 2013
Radeon Instinct
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1200 MHz
Base Clock
-
1746 MHz
Boost Clock
-
1000 MHz
Memory Clock
1300 MHz
Memory
16GB
Memory Size
5GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
320bit
1.02TB/s
Bandwidth
208.0GB/s
Render Config
60
Compute Units
-
48
SM Count
-
3840
Shading Units
2496
240
TMUs
208
64
ROPs
40
192
Tensor Cores
-
48
RT Cores
-
16 KB (per CU)
L1 Cache
16 KB (per SMX)
4 MB
L2 Cache
1280 KB
-
-
-
Theoretical Performance
111.7 GPixel/s
Pixel Rate
36.71 GPixel/s
419.0 GTexel/s
Texture Rate
146.8 GTexel/s
26.82 TFLOPS
FP16 (half)
-
13.41 TFLOPS
FP32 (float)
3.524 TFLOPS
6.705 TFLOPS
FP64 (double)
1175 GFLOPS
Board Design
300W
TDP
225W
700 W
Suggested PSU
550 W
1x mini-DisplayPort 1.4a
Outputs
No outputs
2x 8-pin
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
Vega 20
GPU Name
GK110
Vega 20 GLXT
GPU Variant
-
GCN 5.1
Architecture
Kepler
TSMC
Foundry
TSMC
7 nm
Process Size
28 nm
13.23 billion
Transistors
7.08 billion
331 mm²
Die Size
561 mm²
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
2.1
OpenCL
3.0
1.3
Vulkan
1.1
8.9
CUDA
3.5
6.7
Shader Model
5.1
