by icu on 8/26/22, 6:04 PM with 66 comments
by synergy20 on 8/26/22, 7:39 PM
* very cash heavy(EDA tools, IP license, engineer wage, fab money,etc)
* very challenging technically(balance of computation, power, size,etc)
* lots of work needed on the software side(compiler,SDK,optimized libs,etc)
It is in a totally different world comparing to MVP or the lean startup concept.Hardware(circuit board related) startup is already challenging(cash heavy, logistic challenges,etc), chip startup is 100x more. The later is about more than one hundred people with hundreds of millions investment to just get started.
by Centigonal on 8/26/22, 6:35 PM
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.
by solomatov on 8/26/22, 6:17 PM
- https://www.sifive.com/ - RISC-V related company
- https://www.cerebras.net/ - Cerebras (AI accelerator)
Both of categories has other players, these are just two notable examples.
by pveierland on 8/26/22, 7:15 PM
- ONiO: Single-chip microcontroller with builtin energy harvesting and radio communication, enabling IoT devices without battery or dedicated charging.
- Ascenium: Software-defined CPU without an instruction set. Highly parallel architecture with extensive compiler integration.
- Disruptive Technologies: Single-chip compute + sensing with built-in battery for 10+ year operation.
by Lind5 on 8/26/22, 6:31 PM
by MontyCarloHall on 8/26/22, 6:54 PM
It would represent a true architectural revolution if it ever actually came to fruition. Lots of past discussion on HackerNews over the decade(!) it’s been under development.
by illgenr on 8/27/22, 9:34 AM
I'm designing an affordable electron microscope for high schools and small businesses. While that doesn't sound like a chip startup, the long term goal is to create multipurpose tools that enable semiconductor fabrication with electron beam milling and chemical vapor deposition.
by phlipski on 8/26/22, 7:00 PM
https://www.uhnder.com/ - radar on a chip
by frozenport on 8/26/22, 6:24 PM
by 0xbadc0de5 on 8/26/22, 6:31 PM
by adapteva on 8/26/22, 8:09 PM
by systemvoltage on 8/26/22, 7:21 PM
by marcosdumay on 8/26/22, 7:29 PM
With enough funding, it's quite a good thing to work on. With Moore's law dead, the odds of success of weird chips got much better.
by polalavik on 8/26/22, 7:06 PM
by servitor on 8/26/22, 7:14 PM
by davidcox143 on 8/26/22, 7:12 PM
We currently target AWS F1 FPGA instances, and custom ASICs are on our roadmap.
hn@ir.design
by new_user8675309 on 8/26/22, 8:43 PM
https://www.linkedin.com/jobs/view/3108025120/?refId=iI7RO%2...
by ov_ov on 8/26/22, 10:29 PM
by aclindsa on 8/27/22, 3:34 PM
by Symmetry on 8/26/22, 8:34 PM
by ahmadmijot on 8/26/22, 6:42 PM
It's so costly I don't know how other related startups can survive though.
by mkoryak on 8/26/22, 6:49 PM
by 0xPIT on 8/26/22, 8:24 PM
by stdcall83 on 8/28/22, 6:50 AM
by humanwhosits on 8/26/22, 9:39 PM
by 7ero on 8/27/22, 8:33 AM
by runjake on 8/26/22, 6:28 PM
https://www.google.com/search?q=chip+startups
I'm pretty impressed with the number of AI/neural network semiconductor startups right now.