NVIDIA Jetson Orin Nano 8 GB vs NVIDIA Tesla C2090
We compared two Professional market GPUs: 8GB VRAM Jetson Orin Nano 8 GB and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Jetson Orin Nano 8 GB 's Advantages
Released 11 years and 8 months late
More VRAM (8GB vs 6GB)
512 additional rendering cores
Lower TDP (15W vs 250W)
NVIDIA Tesla C2090 's Advantages
Larger VRAM bandwidth (177.4GB/s vs 68.29GB/s)
Score
Benchmark
FP32 (float)
Jetson Orin Nano 8 GB
1.28 TFLOPS
Tesla C2090
+4%
1.332 TFLOPS
Graphics Card
Mar 2023
Release Date
Jul 2011
Tegra
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x4
Bus Interface
PCIe 2.0 x16
Clock Speeds
-
-
-
-
-
-
1067 MHz
Memory Clock
924 MHz
Memory
8GB
Memory Size
6GB
LPDDR5
Memory Type
GDDR5
128bit
Memory Bus
384bit
68.29GB/s
Bandwidth
177.4GB/s
Render Config
-
-
-
8
SM Count
16
1024
Shading Units
512
32
TMUs
64
16
ROPs
48
32
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
64 KB (per SM)
256 KB
L2 Cache
768 KB
-
-
-
Theoretical Performance
10.00 GPixel/s
Pixel Rate
20.83 GPixel/s
20.00 GTexel/s
Texture Rate
41.66 GTexel/s
2.560 TFLOPS
FP16 (half)
-
1280 GFLOPS
FP32 (float)
1332 GFLOPS
640.0 GFLOPS
FP64 (double)
666.1 GFLOPS
Board Design
15W
TDP
250W
-
Suggested PSU
600 W
Portable Device Dependent
Outputs
No outputs
-
-
-
Graphics Processor
GA10B
GPU Name
GF110
-
-
-
Ampere
Architecture
Fermi 2.0
Samsung
Foundry
TSMC
8 nm
Process Size
40 nm
Unknown
Transistors
3 billion
Unknown
Die Size
520 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
8.6
CUDA
2.0
6.7
Shader Model
5.1
