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And yet Intel seems to be wanting to make GPUs for machine learning now...so I guess Nvidia's PR worked against Intel, too? But as I said in another comment, t
by mtgx 9y ago
And yet Intel seems to be wanting to make GPUs for machine learning now...so I guess Nvidia's PR worked against Intel, too?
But as I said in another comment, the truth is Intel doesn't seem to be knowing what it's doing, which is why it's pushing in 5 or 6 different directions with many-core accelerators, FPGAs, custom ASICs, neuromorphic CPUs, quantum computers, graphcores, and so on.
By the time Intel figures out which one of these is "ideal" for machine learning, and behind which arrows to "put more wood," Nvidia will have an insurmountable advantage in the machine learning chip market, backed by an even stronger software ecosystem that Intel can't build because it doesn't yet know "which ML chips will win out".
If I would describe Intel is a sentence these days is "Intel doesn't have a vision." It's mostly re-iterating on its chips and rent-seeking these days by rebranding weak chips with strong chip brands, and adding names like "Silver" and "Gold" to Xeons (and charging more for them, because come on - it says Gold on them!), as well as essentially bringing the DLC nickle-and-diming strategy from games to its chips and motherboards.
Meanwhile, it's wasting billions every year on failed R&D projects and acquisitions because it lacks that vision on what it really needs to do to be successful. Steve Jobs didn't need to build 5 different smartphones to see which one would "win out" in the market.
- p1esk 9y agoNvidia is probably "wasting" just as much money on R&D to figure out "which ML chips will win out" 5 years from now, so that they can built it first and sell it as a "GPU".
- marcosdumay 9y ago> many-core accelerators, FPGAs, custom ASICs, neuromorphic CPUs, quantum computers, graphcores Most of those are completely different technologies that will almost certainly not share a niche.
- newlyretired 9y agoNon-incremental advances require a lot of wasted-path R&D. If any of Intel's projects creates a generational leap, it will pay off handsomely. When the way forward isn't clear, I like to use the concepts from path finding algorithms to drive strategy. Assuming you can afford multiple parallel efforts. It's not clear if doing this in-house, or closely monitoring the state of the art and then buying a company that develops a winner, is superior.