Jetson Orin Nano 8 GB vs Tesla C2050
We compared two Professional market GPUs: 8GB VRAM Jetson Orin Nano 8 GB and 3GB VRAM Tesla C2050 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 3GB)
576 additional rendering cores
Lower TDP (15W vs 238W)
Tesla C2050 's Advantages
Larger VRAM bandwidth (144.0GB/s vs 68.29GB/s)
Score
Benchmark
FP32 (float)
Jetson Orin Nano 8 GB
+24%
1280
Tesla C2050
1028
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
750 MHz
Memory
8GB
Memory Size
3GB
LPDDR5
Memory Type
GDDR5
128bit
Memory Bus
384bit
68.29GB/s
Bandwidth
144.0GB/s
Render Config
8
SM Count
14
1024
Shading Units
448
32
TMUs
56
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
16.07 GPixel/s
20.00 GTexel/s
Texture Rate
32.14 GTexel/s
2.560 TFLOPS
FP16 (half)
-
1280 GFLOPS
FP32 (float)
1028 GFLOPS
640.0 GFLOPS
FP64 (double)
513.9 GFLOPS
Board Design
15W
TDP
238W
-
Suggested PSU
550 W
Portable Device Dependent
Outputs
1x DVI
-
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
GA10B
GPU Name
GF100
-
GPU Variant
GF100-850-A3
Ampere
Architecture
Fermi
Samsung
Foundry
TSMC
8 nm
Process Size
40 nm
Unknown
Transistors
3.1 billion
Unknown
Die Size
529 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
