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It looks like Raja will lead the development of machine learning-focused GPUs. Isn't this Intel basically admitting that their Xeon Phi, Nervana, and Altera GPU
by mtgx 9y ago
It looks like Raja will lead the development of machine learning-focused GPUs. Isn't this Intel basically admitting that their Xeon Phi, Nervana, and Altera GPU efforts to win the machine learning market are all a dead-end?
How many machine learning strategies is Intel going to try? Does it even know what it's doing? Spending billions of dollars left and right on totally different machine learning technologies kind of looks like it doesn't, and it's just hoping it will get lucky with one of them.
And even if you think that's not a terrible strategy to "see what works", there's still the issue that they need to have great software support for all of these platforms if they want developer adoption. The more different machine learning strategies it adopts, the harder that's going to be for Intel to achieve.
- ironchef253 9y agoIntel needs a CEO that skates to where the puck is going to be, not where it was three goals ago.
- keganunderwood 9y agoThat's scary of that's what is required of a ceo. You would either need to be an oracle and predict where the industry will go or you'd need to make the industry go the direction you're taking the company.
- stochastic_monk 9y agoI do love AVX512 and FMA instructions for CPU code with lots of branching. But that's not definitely going to cut it for the pure almost solely linear algebra workloads of most deep learning. I do have high hopes for their memristor initiative, but that's got to be years out. The GPU move is smart for Intel.
- dirtyaura 9y agoI think there is more to AI and ML than deep learning in which TPUs and GPUs are obvious choice. But I bet that branching instructions (various variants of search) still play a big role when you go beyond classifiers to reinforcement learning etc. so there is need for other architectures beyond GPUs.