RTX 4000 SFF Ada Generation vs Tesla K40c
We compared two Professional market GPUs: 16GB VRAM RTX 4000 SFF Ada Generation and 12GB VRAM Tesla K40c to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
RTX 4000 SFF Ada Generation 's Advantages
Released 5 years and 1 months late
Boost Clock has increased by 99% (1746MHz vs 876MHz)
More VRAM (16GB vs 12GB)
Larger VRAM bandwidth (1.02TB/s vs 288.4GB/s)
960 additional rendering cores
Tesla K40c 's Advantages
Lower TDP (245W vs 300W)
Score
Benchmark
FP32 (float)
RTX 4000 SFF Ada Generation
+165%
13410
Tesla K40c
5046
Graphics Card
Nov 2018
Release Date
Oct 2013
Radeon Instinct
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
1200 MHz
Base Clock
745 MHz
1746 MHz
Boost Clock
876 MHz
1000 MHz
Memory Clock
1502 MHz
Memory
16GB
Memory Size
12GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
384bit
1.02TB/s
Bandwidth
288.4GB/s
Render Config
60
Compute Units
-
48
SM Count
-
3840
Shading Units
2880
240
TMUs
240
64
ROPs
48
192
Tensor Cores
-
48
RT Cores
-
16 KB (per CU)
L1 Cache
16 KB (per SMX)
4 MB
L2 Cache
1536 KB
Theoretical Performance
111.7 GPixel/s
Pixel Rate
52.56 GPixel/s
419.0 GTexel/s
Texture Rate
210.2 GTexel/s
26.82 TFLOPS
FP16 (half)
-
13.41 TFLOPS
FP32 (float)
5.046 TFLOPS
6.705 TFLOPS
FP64 (double)
1.682 TFLOPS
Board Design
300W
TDP
245W
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
GK180
Vega 20 GLXT
GPU Variant
GK180-890-A1
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
