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Great for edge AI & robotics, but not for everyone. If you already have a decent GPU laptop or desktop (like RTX 3060/4060), this won't beat it for training or general AI dev. The Jetson Orin Nano shines in low-power, embedded AI projects — like running models on robots, drones, or IoT devices — where size and power efficiency matter more than raw speed. For most desktop-style AI work, a regular GPU will be faster
Great for edge AI & robotics, but not for everyone. If you already have a decent GPU laptop or desktop (like RTX 3060/4060), this won't beat it for training or general AI dev. The Jetson Orin Nano shines in low-power, embedded AI projects — like running models on robots, drones, or IoT devices — where size and power efficiency matter more than raw speed. For most desktop-style AI work, a regular GPU will be faster
Dollar per dollar, do you still have the same opinion?
Dollar per dollar, do you still have the same opinion?
I mean you can buy 3060s (with 12GB of ram) for less than $250. So if its a choice between this or a 3060, the answer is clear. If its an independent system (i.e. a 3060+ everything else needed), perhaps gets more complicated.
Dollar per dollar, do you still have the same opinion?
Just following up with, ABSOLUTELY. This is not a powerful (computationally) device. It doesn't have a lot of fast ram to load models. Pretty much any GPU with 8gb VRAM will perform much better than this.
But, this does have its use cases. Like StrongName8719 said, this is good for low power (running off battery) or small working space projects.
Much like a RaspberryPi, generally speaking, they're not the best value, they're not powerful, but they are small and low powered and sometimes that's exactly what you need.
For this, that's the use case. Low power and small. But for just general AI processing, it's toward the bottom of the list for $/performance vs GPUs.
Just following up with, ABSOLUTELY. This is not a powerful (computationally) device. It doesn't have a lot of fast ram to load models. Pretty much any GPU with 8gb VRAM will perform much better than this. But, this does have its use cases. Like StrongName8719 said, this is good for low power (running off battery) or small working space projects. Much like a RaspberryPi, generally speaking, they're not the best value, they're not powerful, but they are small and low powered and sometimes that's exactly what you need.For this, that's the use case. Low power and small. But for just general AI processing, it's toward the bottom of the list for $/performance vs GPUs.
Just out of curiosity I am super new to this stuff but how would this compare to say a google coral dev board or just a regular computer with a google coral. To do ai video detecting? I have a bunch of the google coral dev boards and played with frigate but curious on a comparison.
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Our community has rated this post as helpful. If you agree, why not thank StrongName8719
But, this does have its use cases. Like StrongName8719 said, this is good for low power (running off battery) or small working space projects.
Much like a RaspberryPi, generally speaking, they're not the best value, they're not powerful, but they are small and low powered and sometimes that's exactly what you need.
For this, that's the use case. Low power and small. But for just general AI processing, it's toward the bottom of the list for $/performance vs GPUs.
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