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Where Nvidia, AMD, Intel and Qualcomm Shares Now Stand

Following their recent selloffs, two of these major chip developers arguably present compelling risk/rewards..NVDA ....

Pat Gelsinger , Lisa Su , Jensen Huang , Qualcomm Io , Mellanox Technologies , Taiwan Semiconductor , Advanced Micro Devices , Tower Semiconductor , Geforce Now , Android Soc , Eric Jhonsa ,

Malcolm Ethridge From "The Tech Money Podcast" Provides Perspective for Investors

Plus we look at the e-commerce landscape. ....

Ron Gross , Jason Moser , Malcolm Ethridge , Chris Hill , Domino Pizza , Federal Reserve , Motley Fool , Tech Money Podcast , Outset Medical , Fool Money , From Fool , Motley Fool Money , Motley Fool Senior Analyst Jason Moser , Wall Street , Booking Holdings , Cash App , Under Armour ,

The three-way race for GPU dominance in the data center

Nvidia, AMD, and Intel are about to slug it out for a share of the growing graphics-processing-unit market that’s being fueled by the needs of artificial intelligence and machine learning. ....

Nvidia Hopper , Lisa Su , Ponte Vecchio , Daniel Newman , Pcie Gen , Jon Peddie , Hopper Gpus , Jonathan Cassell , Jon Peddie Research , Futurum Research , Network World , Oak Ridge National Labs , Dell Technologies , Hewlett Packard Enterprise , Penguin Computing , Intel Server , Data Parallel ,

Can HLS Partitioning Speed Up Placement and Routing of FPGA Designs? Yes, Oh Yes!

FPGA place-and-route software goes too fast, said no one ever. In fact, FPGA vendors have spent considerable effort in making their design software run faster on multicore processors. A paper recently presented at the ACM’s FPGA 2022 conference titled “RapidStream: Parallel Physical Implementation of FPGA HLS Designs,” describes a very interesting approach to pushing HLS… ....

Virtex Ultrascale , Ghent University , Cornell University , Parallel Physical Implementation , Xilinx Virtex , Super Logic Regions , Processing Elements ,

FPGA Market Trends with Next-Gen Technology

Due to their excellent performance and versatility, FPGAs (Field Programmable Gate Arrays) appeal to a wide spectrum of businesses. Also, it has the feature of adopting new standards and modifying hardware as per the specific application requirement even after it’s been deployed for usage ....

V Srinivas Durga Prasad , Consumer Electronics , Gen Technology , Firmware Development , Field Programmable Gate Arrays , Deep Learning , Artificial Intelligence , Mordor Intelligence , Natural Language Processing , Switch Matrix , Configurable Logic Blocks , Hardware Description Language , Description Language , Machine Learning , Computer Vision , Next Gen ,