Instant AI Response

#1

Post by hochmartinez » Sat, Feb 21, 2026, 9:42 AM UTC

Re: Instant AI Response

#2

Post by nacs » Sat, Feb 21, 2026, 2:28 PM UTC

What model and hardware powers this?

Is this a Google T5 based model?

#3

Post by personalcompute » Sat, Feb 21, 2026, 2:33 PM UTC

This is a demo of Taalas inference ASIC hardware. Prior discussion @ https://news.ycombinator.com/item?id=47086181

#4

Post by [deleted] » Sat, Feb 21, 2026, 2:33 PM UTC

[deleted]

#5

Post by pella » Sat, Feb 21, 2026, 2:33 PM UTC

#6

Post by pella » Sat, Feb 21, 2026, 2:35 PM UTC

nacs wrote: post #2

What model and hardware powers this? Is this a Google T5 based model?

#7

Post by Kuyawa » Sat, Feb 21, 2026, 2:56 PM UTC

If this is possible, why not all online AI engines work like this?

#8

Post by alansaber » Sat, Feb 21, 2026, 2:57 PM UTC

I love seeing optimised SLM inference. Is there a current use-case for this? Edge CNNs make sense to me but not edge SLMs (yet).

#9

Post by notronic » Sat, Feb 21, 2026, 3:04 PM UTC

imagine a model like opus 4.6 at that speed, that would be insane

#10

Post by yomismoaqui » Sat, Feb 21, 2026, 3:20 PM UTC

Kuyawa wrote: post #7

If this is possible, why not all online AI engines work like this?

This is an specific model (Llama 3.1 8B) baked in hardware form. You can only use this model but get "low" power consumption and crazy speed.

If you want to run a different model you need new hardware for that new model.