Hybrid cloud is gaining traction as organizations seek to realize the flexibility and scale of a joint public and on-premises model of IT provisioning while also changing the way their compute and storage infrastructure is funded, transferring costs from a capital expense (capex) to an operating expense (opex). …
Startup Cerebras Systems has unveiled the world’s largest microprocessor, a waferscale chip custom-built for machine learning. …
At the recent EuroHPC Summit in Poland, the nature of Europe’s first homegrown HPC processor was described in some detail. …
Businesses and government agencies are deploying AI at breakneck speeds. But in the rush to stay ahead, or at least not fall too far behind, organizations are having to confront some hard truths. …
This week we delved into a wide variety of European projects that address future needs of systems in research and industry at HiPEAC in Valencia, Spain. …
If relational databases had just worked at scale to begin with, the IT sector would be a whole lot more boring and we wouldn’t be having a conversation with Andrew Fikes, the vice president and Engineering Fellow at search engine, application, and cloud computing giant Google who has been instrumental in the creation of many of its databases and datastores since joining the company in 2001. …
Now that deep learning at traditional supercomputing centers is becoming a more pervasive combination, the infrastructure challenges of making both AI and simulations run efficiently on the same hardware and software stacks are emerging. …
It is safe to say that a little more than a decade ago, when the clone of Google’s MapReduce and Google File System distributed storage and computing platform was cloned at Yahoo and offered up to the world as a way to transform the nature of data analytics at scale, that we all had much higher hopes for the emergence of platforms centered around Hadoop that would change enterprise, not just webscale, computing. …
Many programs have a tough time spanning across high levels of concurrency, but if they are cleverly coded, databases can make great use of massively parallel compute based in hardware to radically speed up the time it takes to run complex queries against large datasets. …
By its very nature, HPC isn’t exactly cheap to do. Even moderate sized systems ring in at many hundreds of thousands of dollars. …
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