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This was probably drawn up as an option, but is everyone here gonna ignore that theres a new administration in the whitehouse and Intels previous CEO (who, at l

This was probably drawn up as an option, but is everyone here gonna ignore that theres a new administration in the whitehouse and Intels previous CEO (who, at least publicly, was very optimistic that Intel could pull a turnaround all on its own) was recently ousted?

alephnerd 2y ago
Intel's leadership has been lobbying for this at a bipartisan level for almost half a decade now. This saga has been going on since 2018-19 and Pat Gelsinger is himself Republican leaning.
bluGill 2y ago
Chips are too imporant to modern war for any country to be unable to make them. I mean the entire chip not just a part. the entire chain from raw minerals to a complete circuit board needs to be in your county. don't forget to design the above too. Small countries better join something like the eu and nato because they cannot ro alone.
- alephnerd 2y ago
  > Chips are too imporant to modern war for any country to be unable to make them The chips being used in weapons systems are largely fabbed on legacy nodes (28nm/48nm) or 14nm at the latest. You don't need much more than a mid-2010s comparable Intel i5 or Nvidia Maxwell for most defense or weapons systems applications.
  - bluGill 2y ago
    Today but will that continue? We don't know. If ai really works you may need better in the future. Only time will tell
    - alephnerd 2y ago
      What is a use case that justifies a Radeon RX 5000 GPU versus an Nvidia Pascal? The same mindset you are describing is a major reason why Deepseek was able to "disrupt" the ML space. At some point, just throwing more and more compute becomes a waste. When building weapons systems, what matters is low unit costs and ease of replaceablity. This is the a major reason why most Defense (as well as Aerospace and Automotive) buyers tend to consolidate on older, cheaper, and more commodified processes There are significant usecases for bleeding edge compute such as in Simulations (heavily used in Nuclear Research and Jet Engine design), but you can fight using legacy compute at scale and still turn the tides. Look at both Russia and Ukraine for example.
      - bluGill 2y ago
        If it wins the war it isn't a waste. Sometimes we can do better sometimes a lot of processing is needed. I refuse to limit the future which makes your question a stupid question. Maybe nothing will come up maybe it will.
        alephnerd 2y ago
        Stop giving platitudes - answer the question, or don't bother replying to me at all.

alephnerd 2y ago

Intel's leadership has been lobbying for this at a bipartisan level for almost half a decade now. This saga has been going on since 2018-19 and Pat Gelsinger is himself Republican leaning.

bluGill 2y ago

Chips are too imporant to modern war for any country to be unable to make them. I mean the entire chip not just a part. the entire chain from raw minerals to a complete circuit board needs to be in your county. don't forget to design the above too. Small countries better join something like the eu and nato because they cannot ro alone.

alephnerd 2y ago
> Chips are too imporant to modern war for any country to be unable to make them The chips being used in weapons systems are largely fabbed on legacy nodes (28nm/48nm) or 14nm at the latest. You don't need much more than a mid-2010s comparable Intel i5 or Nvidia Maxwell for most defense or weapons systems applications.
- bluGill 2y ago
  Today but will that continue? We don't know. If ai really works you may need better in the future. Only time will tell
  - alephnerd 2y ago
    What is a use case that justifies a Radeon RX 5000 GPU versus an Nvidia Pascal? The same mindset you are describing is a major reason why Deepseek was able to "disrupt" the ML space. At some point, just throwing more and more compute becomes a waste. When building weapons systems, what matters is low unit costs and ease of replaceablity. This is the a major reason why most Defense (as well as Aerospace and Automotive) buyers tend to consolidate on older, cheaper, and more commodified processes There are significant usecases for bleeding edge compute such as in Simulations (heavily used in Nuclear Research and Jet Engine design), but you can fight using legacy compute at scale and still turn the tides. Look at both Russia and Ukraine for example.
    - bluGill 2y ago
      If it wins the war it isn't a waste. Sometimes we can do better sometimes a lot of processing is needed. I refuse to limit the future which makes your question a stupid question. Maybe nothing will come up maybe it will.
      - alephnerd 2y ago
        Stop giving platitudes - answer the question, or don't bother replying to me at all.