Hi there,
I want to share some thoughts and want to hear your opinions on it.
Recently, AI developments are booming also in the sense of game development. E.g. NVIDIA ACE which would bring the possibility of NPCs which run an AI model to communicate with players.
Also, there are developments on an alternative to ray tracing where lighting, shadows and reflections are generated using AI which would need less performance and has similar visual aesthetics as ray tracing.
So it seems like raster performance is already at a pretty decent level. And graphic card manufacturers are already putting increasingly AI processors on the graphics card.
In my eyes, the next logical step would be to separate the work of the graphics card, which would be rasterisation and ray tracing, from AI. Resulting in maybe a new kind of PCIe card, an AI accelerator, which would feature a processor optimized for parallel processing and high data throughput.
This would allow developers to run more advanced AI models on the consumer’s pc. For compatibility, they could e.g. offer a cloud based subscription system.
Unless the AI processing is much more specialized than graphics, I think manufacturers would put that effort into making more powerful GPUs that can also be used for AI tasks.
They would try to alleviate the cost on running GPU by making an AI accelerator chip like Tensor Core, but it’ll get bottleneck by limited VRAM when Neural Net models require steep amount of memory. it’s more productive to have something like NPU that runs either on RAM or by it’s own memory chips offering higher amount of capacity to run such neural net and avoid the roundtrip data copying between GPU and CPU.
Good question, but I’d say that the same train of thought went through dedicated physics cards. I’d guess that an AI card should have a great value proposition to be worth buying.
For compatibility, they could e.g. offer a cloud based subscription system.
I’m not sure where you’re going with this, but it feels wrong. I’m not buying a hardware part that cannot function without a constant internet connection or regular payment.
Two very interesting articles. Thank you for that!
Especially the analog processor is a game changer with having the computation directly in memory. Generally, analog computers are a very interesting subject!
Your GPU is an AI accelerator already. Running trained AI models is not as resource demanding as training one. Unless local training becomes universal, AI acclerators for consumers make very few sense.
What is the significance of semiconductors in chatbot technology?How do semiconductors enhance chatbot capabilities?Can chatbots powered by semiconductors understand and respond to human emotions?What role do semiconductors play in voice-based interactions with chatbots?
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !gaming@beehaw.org
From video gaming to card games and stuff in between, if it’s gaming you can probably discuss it here!
Please Note: Gaming memes are permitted to be posted on Meme Mondays, but will otherwise be removed in an effort to allow other discussions to take place.
Unless the AI processing is much more specialized than graphics, I think manufacturers would put that effort into making more powerful GPUs that can also be used for AI tasks.
They would try to alleviate the cost on running GPU by making an AI accelerator chip like Tensor Core, but it’ll get bottleneck by limited VRAM when Neural Net models require steep amount of memory. it’s more productive to have something like NPU that runs either on RAM or by it’s own memory chips offering higher amount of capacity to run such neural net and avoid the roundtrip data copying between GPU and CPU.
Good question, but I’d say that the same train of thought went through dedicated physics cards. I’d guess that an AI card should have a great value proposition to be worth buying.
I’m not sure where you’re going with this, but it feels wrong. I’m not buying a hardware part that cannot function without a constant internet connection or regular payment.
Absolutely, I would suggest looking into two separate devices that focuses solely on AI acceleration:
Analog Neural Accelerator
and
Neural Processing Unit
Two very interesting articles. Thank you for that!
Especially the analog processor is a game changer with having the computation directly in memory. Generally, analog computers are a very interesting subject!
Your GPU is an AI accelerator already. Running trained AI models is not as resource demanding as training one. Unless local training becomes universal, AI acclerators for consumers make very few sense.
What is the significance of semiconductors in chatbot technology?How do semiconductors enhance chatbot capabilities?Can chatbots powered by semiconductors understand and respond to human emotions?What role do semiconductors play in voice-based interactions with chatbots?
Tips: the datasheet (https://www.icdrex.com/the-future-of-communication-chatbots-powered-by-semiconductors/) may help you a little.