NVIDIA Tesla C2090 vs NVIDIA RTX 4000 SFF Ada Generation
We compared two Professional market GPUs: 6GB VRAM Tesla C2090 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 C2090 's Advantages
Lower TDP (250W vs 300W)
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 7 years and 4 months late
Boost Clock1746MHz
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (1.02TB/s vs 177.4GB/s)
3328 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla C2090
1.332 TFLOPS
RTX 4000 SFF Ada Generation
+906%
13.41 TFLOPS
Graphics Card
Jul 2011
Release Date
Nov 2018
Tesla
Generation
Radeon Instinct
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
-
Base Clock
1200 MHz
-
Boost Clock
1746 MHz
924 MHz
Memory Clock
1000 MHz
Memory
6GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
177.4GB/s
Bandwidth
1.02TB/s
Render Config
-
Compute Units
60
16
SM Count
48
512
Shading Units
3840
64
TMUs
240
48
ROPs
64
-
Tensor Cores
192
-
RT Cores
48
64 KB (per SM)
L1 Cache
16 KB (per CU)
768 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
20.83 GPixel/s
Pixel Rate
111.7 GPixel/s
41.66 GTexel/s
Texture Rate
419.0 GTexel/s
-
FP16 (half)
26.82 TFLOPS
1332 GFLOPS
FP32 (float)
13.41 TFLOPS
666.1 GFLOPS
FP64 (double)
6.705 TFLOPS
Board Design
250W
TDP
300W
600 W
Suggested PSU
700 W
No outputs
Outputs
1x mini-DisplayPort 1.4a
-
Power Connectors
2x 8-pin
Graphics Processor
GF110
GPU Name
Vega 20
-
GPU Variant
Vega 20 GLXT
Fermi 2.0
Architecture
GCN 5.1
TSMC
Foundry
TSMC
40 nm
Process Size
7 nm
3 billion
Transistors
13.23 billion
520 mm²
Die Size
331 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
2.1
N/A
Vulkan
1.3
2.0
CUDA
8.9
5.1
Shader Model
6.7
