Home GPU Comparison NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Jetson Orin Nano 8 GB

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Jetson Orin Nano 8 GB

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 8GB VRAM Jetson Orin Nano 8 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Boost Clock1597MHz
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (1133GB/s vs 68.29GB/s)
4096 additional rendering cores
NVIDIA Jetson Orin Nano 8 GB 's Advantages
Released 3 years and 4 months late
Lower TDP (15W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 16 GB +1177%
16.35 TFLOPS
Jetson Orin Nano 8 GB
1.28 TFLOPS
VS

Graphics Card

Nov 2019
Release Date
Mar 2023
Tesla
Generation
Tegra
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x4

Clock Speeds

1245 MHz
Base Clock
-
1597 MHz
Boost Clock
-
1106 MHz
Memory Clock
1067 MHz

Memory

16GB
Memory Size
8GB
HBM2
Memory Type
LPDDR5
4096bit
Memory Bus
128bit
1133GB/s
Bandwidth
68.29GB/s

Render Config

80
SM Count
8
-
Compute Units
-
5120
Shading Units
1024
320
TMUs
32
128
ROPs
16
640
Tensor Cores
32
-
RT Cores
-
128 KB (per SM)
L1 Cache
128 KB (per SM)
6 MB
L2 Cache
256 KB

Theoretical Performance

204.4 GPixel/s
Pixel Rate
10.00 GPixel/s
511.0 GTexel/s
Texture Rate
20.00 GTexel/s
32.71 TFLOPS
FP16 (half)
2.560 TFLOPS
16.35 TFLOPS
FP32 (float)
1280 GFLOPS
8.177 TFLOPS
FP64 (double)
640.0 GFLOPS

Graphics Processor

GV100
GPU Name
GA10B
-
GPU Variant
-
Volta
Architecture
Ampere
TSMC
Foundry
Samsung
12 nm
Process Size
8 nm
21.1 billion
Transistors
Unknown
815 mm²
Die Size
Unknown

Board Design

250W
TDP
15W
600 W
Suggested PSU
-
No outputs
Outputs
Portable Device Dependent
None
Power Connectors
-

Graphics Features

12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.0
CUDA
8.6
6.6
Shader Model
6.7

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