Without discounting the extraordinary amount of work and creativity that goes into developing the next big architectural trend, there is something to be said for being at the right place at the right time—and having the perfect blend of the correct skills and experiences to meet the moment. …
If the last year of stories here from research labs at the forefront of deep learning hasn’t made it clear, the accelerator of choice for training the models that will feed the next generation of speech and image recognition (not to mention a wealth of other application areas) is certainly GPUs. …
While graph analytics is not a likely replacement for the standard relational databases that many companies will stick with for many years to come, the value of graphs for a particular set of knowledge discovery applications has become clearer with a widening set of use cases in areas ranging from security, fraud detection, medical research, financial services, and a number of other segments. …
There is a simple test to figure out just how seriously social network Facebook is taking machine learning, and it has nothing to do with research papers or counting cat pictures automagically with neural networks. …
Stanford University PhD candidate, Song Han, who works under advisor and networking pioneer, Dr. …
Time and again, commercial Hadoop distributor MapR Technologies has demonstrated the value of the MapR-FS file system that underpins its Hadoop stack and differentiates it, more than any other feature, from the other Hadoop platforms with which it competes. …
For Google, Baidu, and a handful of other hyperscale companies that have been working with deep neural networks and advanced applications for machine learning well ahead of the rest of the world, building clusters for both the training and inference portions of such workloads is kept, for the most part, a well-guarded secret. …
It’s funny how Hadoop continues to crop up as the prime example of an open source platform that finds an early niche as an experiment in enterprise IT shops then suddenly explodes into its own vibrant ecosystem. …
When it comes to traditional supercomputing, the tools, frameworks, and software stacks tend to be codified, especially within the various domains that use high performance computing. …
The future of hyperscale datacenter workloads is becoming clearer and as that picture emerges, if one thing is clear, it is that the content is heavily driven by a wealth of non-text content—much of it streamed in for processing and analysis from an ever-growing number of users of gaming, social network, and other web-based services. …
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