Jetson Orin Nano 8 GB vs 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
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)
Tesla C2090 's Advantages
Larger VRAM bandwidth (177.4GB/s vs 68.29GB/s)
Score
Benchmark
FP32 (float)
Jetson Orin Nano 8 GB
1280
Tesla C2090
+4%
1332
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
