Artificial intelligence is taking center stage in the IT industry, fueled by the massive growth in the data being generated and the increasing need in HPC and mainstream enterprises for capabilities ranging from analytics and automation. …
It is not news that China wants a rich, native, diverse semiconductor ecosystem to feed its largest consumers of compute. …
…Facebook has to keep digging into ever-lower levels of its architecture to make efficient use of endlessly growing training data.
What is that famous maxim in computer science about something that doubles on a regular cadence? …
All processor designs are the result of a delicate balancing act, perhaps most touchy in the case of a high performance CPU that needs to be all things to users, whether they’re running large HPC simulations, handling transaction processing, dispatching training runs or whipping out inference results. …
While involving AI/ML in the complex process of insurance claims now might be piecemeal, the future is bright for insurers to speed time to claim resolution by using image-based data and machine learning models to understand the scope of damage to vehicles or eventually, entire geographic regions. …
Commissioned In just about any situation where you are making capital investments in equipment, you are worried about three things: performance, price/performance, and total cost of ownership. …
As Google’s batch sizes for AI training continue to skyrocket, with some batch sizes ranging from over 100k to one million, the company’s research arm is looking at ways to improve everything from efficiency, scalability, and even privacy for those whose data is used in large-scale training runs. …
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