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Next Platform TV: October 9, 2020

On today’s show, in depth with Google’s lead for technical infrastructure on the topic of open infrastructure; a look at the Arm ecosystem in supercomputing and large-scale datacenters with computing pioneer, Simon McIntosh-Smith; we check in with Matt Kixmoeller of Pure Storage to discuss containers and flash–and all the sticky points in between; the show closes with an in-depth on IBM’s opening of its Power architecture and what it means for their competitive advantage. 

Next Platform TV: October 9, 2020 was written by Nicole Hemsoth at The Next Platform.

Pondering That Rumored $30 Billion AMD Acquisition Of Xilinx

You can have a strategy, but you can’t buy one.

Nothing illustrates this principle more than the networking buying binges that both Intel and AMD went on nearly a decade ago, which did not really amount to much in the end but which made some sort of sense in the middle of it all happening.

Pondering That Rumored $30 Billion AMD Acquisition Of Xilinx was written by Timothy Prickett Morgan at The Next Platform.

IBM Jettisons Legacy Services To Focus On Hybrid Cloud

Today, the Gerstner era of International Business Machines is over, and the Krishna era is truly beginning, as Big Blue is spinning out the system outsourcing and hosting business that gave it an annuity-like revenue stream – and something of an even keel – in some rough IT infrastructure waters for two over decades.

IBM Jettisons Legacy Services To Focus On Hybrid Cloud was written by Timothy Prickett Morgan at The Next Platform.

Why The DPU Is More Important Than The CPU For Nvidia

If you are fairly new to the IT racket, you might be under the impression that the waves of integration and disaggregation in compute, networking, and storage that swept over the datacenter in recent decades were all new, that somehow the issues of complexity and cost did not plague systems of the past.

Why The DPU Is More Important Than The CPU For Nvidia was written by Timothy Prickett Morgan at The Next Platform.

On the Fringes of Useful Neuromorphic Scalability

When it comes to novel computing architectures, whether in quantum, deep learning, or neuromorphic, it can be tricky to get a handle on how incremental improvements in processor counts translate to real world improvements since these bumps in element counts often don’t have perfect parallels to CPUs or even GPUs.

On the Fringes of Useful Neuromorphic Scalability was written by Nicole Hemsoth at The Next Platform.

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