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Interesting that they include AI in addition to data analytics as
applications that might use NVIDIA co-processors. So far, IBM has been
pushing the use of web-service calls to external Watson resources.
Web-service calls are not very compute or memory intensive.



On Tue, Sep 26, 2017 at 8:13 AM, Rob Berendt <rob@xxxxxxxxx> wrote:

Interesting read on "statement of direction" on announcement on even more
Power 7 hardware withdrawals
https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=
AN&subtype=CA&htmlfid=897/ENUS917-156&appname=USN

<snip>
Statement of direction
Cognitive, HPC, and high-performance data analytics workloads are driving
an ever-growing set of data-intensive challenges that can be met with
accelerated infrastructure. To help meet these demands, IBM Cognitive
Systems intends to announce a next-generation AI, HPC, and
high-performance data analytics server leveraging IBM's next-generation
POWER® processor with embedded next-generation NVLink between the
processor and the NVIDIA Tesla V100 with NVLink GPU. This integrated
architecture is planned to enable differentiated acceleration for data and
compute-intensive workloads that leverage high data throughput enabled by
fast data transfer between CPU and GPU to supplement NVLink bandwidth
between GPUs.
</snip>

Rob Berendt
--
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Dept 1600
Mail to: 2505 Dekko Drive
Garrett, IN 46738
Ship to: Dock 108
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Kendallville, IN 46755
http://www.dekko.com

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