3 ms·
AirLink Wi-Fi stream with Quest is great, not much different to tethered cable. I think there is a case for local ML becoming more popular too, I could see nvi
by dharma1 3y ago
AirLink Wi-Fi stream with Quest is great, not much different to tethered cable.
I think there is a case for local ML becoming more popular too, I could see nvidia making a Shield like box at some point with a mobile 4000 series GPU and good thermals, that could bring those GPUs to mainstream beyond hardcore gamers. It would work for gaming, VR and consumer local ML apps (Siri that actually works and doesn’t leak data).
Maybe some day the latency/bandwidth will be good enough to stream VR from edge servers so you don’t even need a local GPU. We’re not there yet, even for non-VR games
I think we’ll see new classes of games/entertainment too where you’ll just describe the (VR) experience you want and ML constructs a game or (immersive) movie like experience of it. Maybe a different one every day.
I can see Nvidia selling a lot more GPUs in the next decade as ML and real-time 3D becomes much more pervasive. At some point other much more power efficient architectures (our brain uses 12 watts) will trump general purpose GPUs
- gumballindie 3y ago> , I could see nvidia making a Shield like box at some point with a mobile 4000 series GPU and good thermals, That is indeed how i see it working. A dedicated VR "console" of sorts that tethers via wifi.
- smoldesu 3y agoPersonally, I never see something like this being made (or at least marketed as such). However, *pauses to put on tinfoil hat* Nvidia does sell devkits that roughly match the compute footprint you're describing[0]. They're ARM SOCs which puts them at a disadvantage for gaming, but the form factor does exist. If you need a lot of high-power AI compute and are willing to tinker with it, you can't beat CUDA on ARM. Again though - there's a reason these are sold as devkits and not products. Every YC-backed roach from here to Mississippi is going to spend their next half-decade trying to get your data/money for a machine learning product. Nvidia knows it's a losing game to sell hardware instead of services here, so they're arming the entrepreneurs instead of the consumer. Frankly, I think it's the right move anyways. People are going to need scaling compute for decently fast AI inferencing in the future, and Nvidia can keep that scaling curve under their thumb. Hell, I wouldn't be surprised if there are Nvidia execs suggesting that they abandon the gaming market altogether just to focus on more lucrative AI/datacenter customers. [0] https://store.nvidia.com/en-us/jetson/store/?page=1&limit=9&locale=en-us https://store.nvidia.com/en-us/jetson/store/?page=1&limit=9&...