NVIDIA Tesla K40m vs NVIDIA RTX 4000 SFF Ada Generation
We compared two Professional market GPUs: 12GB VRAM Tesla K40m and 16GB VRAM RTX 4000 SFF Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K40m 's Advantages
Lower TDP (245W vs 300W)
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 5 years 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
Score
Benchmark
FP32 (float)
Tesla K40m
5.046 TFLOPS
RTX 4000 SFF Ada Generation
+165%
13.41 TFLOPS
OctaneBench
Tesla K40m
68
RTX 4000 SFF Ada Generation
+551%
443
Graphics Card
Nov 2013
Release Date
Nov 2018
Tesla
Generation
Radeon Instinct
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
745 MHz
Base Clock
1200 MHz
876 MHz
Boost Clock
1746 MHz
1502 MHz
Memory Clock
1000 MHz
Memory
12GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
288.4GB/s
Bandwidth
1.02TB/s
Render Config
-
Compute Units
60
-
SM Count
48
2880
Shading Units
3840
240
TMUs
240
48
ROPs
64
-
Tensor Cores
192
-
RT Cores
48
16 KB (per SMX)
L1 Cache
16 KB (per CU)
1536 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
52.56 GPixel/s
Pixel Rate
111.7 GPixel/s
210.2 GTexel/s
Texture Rate
419.0 GTexel/s
-
FP16 (half)
26.82 TFLOPS
5.046 TFLOPS
FP32 (float)
13.41 TFLOPS
1.682 TFLOPS
FP64 (double)
6.705 TFLOPS
Board Design
245W
TDP
300W
550 W
Suggested PSU
700 W
No outputs
Outputs
1x mini-DisplayPort 1.4a
-
Power Connectors
2x 8-pin
Graphics Processor
GK110B
GPU Name
Vega 20
-
GPU Variant
Vega 20 GLXT
Kepler
Architecture
GCN 5.1
TSMC
Foundry
TSMC
28 nm
Process Size
7 nm
7.08 billion
Transistors
13.23 billion
561 mm²
Die Size
331 mm²
Graphics Features
12 (11_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
2.1
1.1
Vulkan
1.3
3.5
CUDA
8.9
5.1
Shader Model
6.7
