Clearing the TensorFlow to FPGA Path
Despite some of the inherent complexities of using FPGAs for implementing deep neural networks, there is a strong efficiency case for using reprogrammable devices for both training and inference. …
Despite some of the inherent complexities of using FPGAs for implementing deep neural networks, there is a strong efficiency case for using reprogrammable devices for both training and inference. …
FPGA maker Xilinx has acquired Chinese deep learning chip startup DeePhi Tech for an undisclosed sum. …
It has been difficult for the supercomputing community to watch the tools they have honed over many years get snatched up by a more commercially-oriented community like AI and popularized. …
Most companies in the HPC space have made the natural transition to moving into the deep learning and AI space over the last couple of years. …
Pathology laboratories are big data environments. However, these big data are often hidden behind expert humans who manually and with great care visually parse large complex and detailed datasets to provide critical diagnoses. …
When it comes to deep learning chip startups, hype moves fast but crossing the finish line to real production silicon takes an incredibly long time. …
As history reveals, building a thriving systems business in HPC is no simple task. …
This year at the GPU Technology Conference (GTC18) our roaming camera crew was lucky enough to catch Dolly Wu, vice president and general manager of Inspur’s Datacenter/Cloud division. …
The challenge with many of the complex modern technologies that are coming into datacenters is making them easy and cheap enough for enterprises to use at a their own scale, which is much more limited than that of hyperscalers and cloud builders, and employing their own skillsets, which are also more limited. …
Like any emerging technology, artificial intelligence and various components like machine learning and deep learning are getting a lot of hype, with a continuous flow of analyst reports and news stories detailing how they all will change how business is done, research is conducted and operations are run. …
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