Hyperscalers have billions of users who get access to their services for free, but the funny thing is that these users act like they are paying for it and expect for these services to be always available, no excuses. …
Here at The Next Platform, we tend to keep a close eye on how the major hyperscalers evolve their infrastructure to support massive scale and evermore complex workloads. …
Distributed applications, whether they are containerized or not, have a lot of benefits when it comes to modularity and scale. …
Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the hyperscalers of the world who are essentially creating this technology have had to rely on increasingly beefy compute nodes, these days almost universally augmented with GPUs. …
There has been much discussion about the “black box” problem of neural networks. …
An increasing amount of the world’s data is encapsulated in images and video and by its very nature it is difficult and extremely compute intensive to do any kind of index and search against this data compared to the relative ease with which we can do so with the textual information that heretofore has dominated both our corporate and consumer lives. …
The hyperscalers of the world are increasingly dependent on machine learning algorithms for providing a significant part of the user experience and operations of their massive applications, so it is not much of a surprise that they are also pushing the envelope on machine learning frameworks and systems that are used to deploy those frameworks. …
Having a proliferation of server makes and models over a span of years in the datacenter is not a huge deal for most enterprises. …
The thing we hear time and time again from the hyperscalers is that technology is a differentiator, but supply chain can make or break them. …
Stacking up electronics equipment in precise form factors that slide into standard racks is not a new idea, and in fact it is one that predates the modern era of computing. …
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