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