Fueling AI With A New Breed of Accelerated Computing
A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. …
A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. …
If the history of high performance computing has taught us anything, it is that we cannot focus too much on compute at the expense of storage and networking. …
For those who might expect Microsoft to favor its own Windows-centric platforms and tools to power comprehensive infrastructure for serving AI compute and software services for internal R&D groups, plan on being surprised. …
For more than a decade, GE has partnered with Nvidia to support their healthcare devices. …
Big iron aficionados packed the room when ORNL’s Jack Wells gave the latest update on the upcoming 207 petaflops Summit supercomputer at the GPU Technology Conference (GTC18) this week. …
When Nvidia co-founder and chief executive officer Jensen Huang told the assembled multitudes at the keynote opening to the GPU Technology Conference that the new DGX-2 system, weighing in at 2 petaflops at half precision using the latest Tesla GPU accelerators, would cost $1.5 million when it became available in the third quarter, the audience paused for a few seconds, doing the human-speed math to try to reckon how that stacked up to the DGX-1 servers sporting eight Teslas. …
It has happened time and time again in computing in the past three decades in the datacenter: A device scales up its capacity – be it compute, storage, or networking – as high as it can go, and then it has to go parallel and scale out. …
The more things change, the more they remain the same — as do the two most critical issues for successful software execution. …
The dark and mysterious art of artificial intelligence and machine learning is neither straightforward, or easy. …
There continues to be an ongoing push among tech vendors to bring artificial intelligence (AI) and its various components – including deep learning and machine learning – to the enterprise. …
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