Live data from Hacker News

Ask HN: Chip startups?

news.ycombinator.com

1–10 of 75 posts

Ask HN: Chip startups?

#1
Are there any start-ups in the chip space? I think this falls in the 'sounds like a bad idea' bucket, but could be potentially good idea.

Re: Ask HN: Chip startups?

#7
Lots of cool stuff in the hardware AI space

https://sambanova.ai/ - Enterprise AI and dataflow-as-a-service for established moodels

https://www.cerebras.net/ - AI accelerator, trying to compete with NVidia

https://www.graphcore.ai/ - Another AI accelerator company - UK based

https://femtosense.ai/ - Sparse NNs on very low power chips - cool hardware and software challenges

https://sima.ai/ - ML accelerators for embedded applications

https://ambiq.com/ - Not AI, but low power chips for wireless using some fancy tech that reduces energy leakage

There are dozens more, these are just the ones I've heard of.

Re: Ask HN: Chip startups?

#8

Lots of cool stuff in the hardware AI space https://sambanova.ai/ - Enterprise AI and dataflow-as-a-service for established moodels https://www.cerebras.net/ - AI accelerator, trying to compete with NVidia https://www.graphcore.ai/ - Another AI accelerator company - UK based https://femtosense.ai/ - Sparse NNs on very low power chips - cool hardware and software challenges https://sima.ai/ - ML accelerators for embed…

Adding a few I know of:

https://groq.com/ - From the team that built the original TPU at Google

https://lightmatter.co/ - Light tubes instead of copper

Re: Ask HN: Chip startups?

#9
Not chip the microchip manufacturing but the chip in chip design (IC design) space. I'm currently a part of startup in this area.

It's so costly I don't know how other related startups can survive though.

Re: Ask HN: Chip startups?

#10

Lots of cool stuff in the hardware AI space https://sambanova.ai/ - Enterprise AI and dataflow-as-a-service for established moodels https://www.cerebras.net/ - AI accelerator, trying to compete with NVidia https://www.graphcore.ai/ - Another AI accelerator company - UK based https://femtosense.ai/ - Sparse NNs on very low power chips - cool hardware and software challenges https://sima.ai/ - ML accelerators for embed…

Adding one more: https://www.untether.ai/
Post reply on HN