Probably no computer-related technology has received more attention on the PC side than GPUs. NVidia launched the 3000 series of cards with aggressive pricing that completely obliterate the previous 2000 series GPUs for much less money. Things are great for PC gamers, machine learning coders, and 3D animators in 2020 with these levels of performance except for the fact that there is a complete scarcity of GPU cards in most lines including but not limited to the 2000 and 3000 series for a variety of reasons.
Dain app the machine learning frame rate interpolation software uses CUDA v5.0 as the minimum requirement or a GeForce GTX 750 as the minimum card to run it. But that does not mean it will be fast or be able to finish interpolating your high res footage. In fact, a 720p clip interpolated frame rate needs about 10-11GB of VRAM memory on the card as it runs the entirety of the calculation in video memory for predictive algorithms to work.
Regardless of what the GoPro and Ambarella marriage can provide in tandem hardware it is clear the company wants to branch out of the fledgling sales of GoPro which have tanked in recent quarters and the stock price from a high near a $100 USD is now trading at a mere $12 which is half the IPO price. By branching out it seems they want their chips in many more imaging devices and be less affected by the GoPro product cycle.
The announced H2 and H12 chips are able to provide beefy 4k specs at high frame rates for mobile devices at a mere 2 Watts of power. As to 1080p frame rates it will remain to be seen how this powerful new chip can handle that in a camera design and how it is implemented to squeeze that performance. 120fps at 4k from the H2 in theory should be able to yield 480fps at 1080p just counting the Pixel processing. This however can be limited by the rest of the components like imaging sensor.
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