Having spent the bulk of my handheld gaming time with the Steam Deck, it was a bit of a shock last year to discover that PC gaming isn’t just possible on Android phones and retro handhelds, it’s powering on in leaps and bounds.
I’ve seen so many different games running beautifully, from older AAA titles like Tomb Raider and Prey (2017), all the way to more demanding ones like RDR2 and even Cyberpunk 2077 (no surprise that the last one is still an imperfect experience, as things stand…but it is possible!).
GameNative lets you play all manner of PC games on Android from GOG, Epic, and Steam.
I reached out to my friend Utkarsh, who is the lead developer of GameNative to ask if he wanted to share his story and let me interview him.
His background in development and gaming through to how GameNative started and is built, all the way to what the future might bring for his program. This is an interview on what I think might be at least part of the future of handheld gaming, and I hope you find this interesting:
https://gardinerbryant.com/i-genuinely-feel-gamenative-could-replace-handheld-pcs/


Then explain why the VRAM requiremwnts for 4K gaming hasn’t really changed in the past 10-15 years. And no, DLSS doesn’t reduce it, the AI models also require a decent chunk of VRAM so you often end up using a similar amount of memory to what you did before. Not to mention that DLSS has a lot of other problems.
And again, if you followed tech at all it’s pretty clear that Moore’s law is dead and we’re not getting exponential improvements in tech anymore. All the GPU companies have been able to do lately is work around hard limits, and they’re running out of space for that. There’s an old adage in investing that’s relevant: “past performance does not predict future results”.
Anyway. Any performance limits due to the physical limit of transistors will be overcome with things like 3D cache, increased cores and better multithreading performance. Can’t wait to see what EUV and better materials tech brings especially on the efficiency front. Unfortunately, the exponential performance gains we’re seeing atm is geared towards ML but I believe it’ll eventually make it’s way towards consumer tech.