大多数人认为高性能AI芯片必然伴随着高能耗和散热挑战，但作者认为微软的Maia 200在提供强大计算能力的同时实现了惊人的能效优势，仅消耗Nvidia Blackwell B300 Ultra一半的功率。这一反直觉的发现挑战了AI领域'性能与能耗成正比'的传统认知，暗示了专用AI芯片架构设计的创新突破。

大多数人认为高带宽内存(HBM)是AI加速器的最佳选择，但Qualcomm声称其新的高带宽计算(HBC)技术能在每瓦带宽上提供6倍的提升，这一性能优势挑战了当前数据中心AI加速器的行业共识，暗示传统HBM技术可能面临被颠覆的风险。

本地LLM的优势在于它们在大多数时间消耗较少的电力，这可能会降低运营成本并减少对大型数据中心的需求。

for - paper - climate crisis - rebound effect - paper - title - Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications - from - post - LinkedIn - rebound effect - https://hyp.is/yz4m_ldBEfC18Bfg0RPf2w/www.linkedin.com/feed/update/urn:li:activity:7346027213776953344/

https://en.wikipedia.org/wiki/Jevons_paradox

The increased efficiency in the use of a resource doesn't imply a decrease in the usage of that resource, but rather may cause in incommensurate increase in use because of decrease in cost.

The increased efficiency of the use of a resource may act as a catalyst for increasing usage.

Will this conference debate rebound effects of efficiency? If not, it will not have the desirable net effect.

My linked In comments were:

Alessandro Blasi, will this conference address the rebound effect? In particular, Brockway et al. have done a 2021 meta-analysis of 33 research papers on rebound effects of energy efficiency efforts and conclude:

"...economy-wide rebound effects may erode more than half of the expected energy savings from improved energy efficiency. We also find that many of the mechanisms driving rebound effects are overlooked by integrated assessment and global energy models. We therefore conclude that global energy scenarios may underestimate the future rate of growth of global energy demand."

https://www.sciencedirect.com/science/article/pii/S1364032121000769?via%3Dihub

Unless psychological and sociological interventions are applied along with energy efficiency to mitigate rebound effects, you will likely and ironically lose huge efficiencies in the entire efficiency intervention itself.

Also, as brought up by other commentators, there is a difference between efficiency and degrowth. Intelligent degrowth may work, especially applied to carbon intensive areas of the economy and can be offset by high growth in low carbon areas of the economy.

Vaclav Smil is pessimistic about a green energy revolution replacing fossil fuels https://www.ft.com/content/71072c77-53b3-4efd-92ae-c92dc02f09ad, which opens up the door to serious consideration of degrowth, not just efficiency improvements. Perhaps the answer is in a combination of all of the above, including targeted degrowth.

Technology moves quickly and unexpectedly. At the time of Smil's book release, there was no low carbon cement. Now there is a promising breakthrough: https://www.cnbc.com/2022/04/28/carbon-free-cement-breakthrough-dcvc-put-55-million-into-brimstone.html

As researchers around the globe work feverishly to make low carbon breakthroughs, there is obviously no guarantee of when they will occur. In that case then, with only a few years to peak, it would seem the lowest risk pathway would be to prioritize the precautionary principle over a gambling pathway (such as relying on Negative Emissions Technology breakthroughs) and perhaps consider along with rebound effect conditioned efficiency improvements also include a strategy of at least trialing a temporary, intentional degrowth of high carbon industries / growth of low carbon industries.