How Google will beat Amazon's cloud | ZDNet - 0 views
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The cloud has upended the enterprise storage market, but that isn't its competitive advantage. Local scale-out storage can be competitive with cloud because network bandwidth isn't cheap.What the cloud has that no enterprise-scale datacenter will ever have is the ability to spin up 10s of thousands CPUs - a virtual supercomputer - to run analytics against the data. CPUs are expensive - and they'll remain so as long as Intel can keep them that way.
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The ready access to massive CPU cycles means that cloud will always be better at deep analytics, especially ad-hoc queries, than enterprise scale datacenters. But more importantly, cloud-based machine learning, neural networks and artificial intelligence are the next major evolution in how we use data.
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And that's where Google has a huge lead over Amazon. Amazon's focus on building cloud-based datacenters makes them irresistable now, but the future of the cloud is with applications that can use thousands of cores to create value.
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"THE EVOLUTION OF NEW TECHNOLOGY New technologies go through predictable phases. The hype cycle is phase one. Cloud is well beyond that. Phase two: we build what we already have with the new technology. So, cloud-based file storage. Amazon has moved far beyond storage. They enable customers to build entire data centers in the cloud. That is their key strategic advantage. Phase three is where life gets interesting: we build what we could not build before. More on that in a moment. That's the build side. What about the use side? Today, customers are happy building data centers in the cloud. They are looking for AWS to add more capabilities so they can run their legacy apps and get rid of their internal data centers altogether i.e. cloud admin will be a fast growing occupation; sys admin won't. THE NEXT STEP The cloud has upended the enterprise storage market, but that isn't its competitive advantage. Local scale-out storage can be competitive with cloud because network bandwidth isn't cheap. What the cloud has that no enterprise-scale datacenter will ever have is the ability to spin up 10s of thousands CPUs - a virtual supercomputer - to run analytics against the data. CPUs are expensive - and they'll remain so as long as Intel can keep them that way. The ready access to massive CPU cycles means that cloud will always be better at deep analytics, especially ad-hoc queries, than enterprise scale datacenters. But more importantly, cloud-based machine learning, neural networks and artificial intelligence are the next major evolution in how we use data. And that's where Google has a huge lead over Amazon. Amazon's focus on building cloud-based datacenters makes them irresistable now, but the future of the cloud is with applications that can use thousands of cores to create value. Look at what Google - and Microsoft - has done with machine translation. Yes, you need many petabytes of storage for the corpus, but the real key is in the compute resources and algorit