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Envelope-to: dr.sultan@jack.ngo
Delivery-date: Tue, 28 Jul 2020 11:21:22 -0400
Date: Tue, 28 Jul 2020 10:20:41 -0500 (CDT)
From: Canonical | Ubuntu <ubuntu-marketing@canonical.com>
Reply-To: ubuntu-marketing@canonical.com
To: dr.sultan@jack.ngo
Message-ID: <632455160.949961164.1595949641309.JavaMail.mktmail@sjmas05.marketo.org>
Subject: Webinar: Production AI from data lake to server and solving HW
 challenges
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Hi=C2=A0Sultan,
Join our upcoming free webinar to hear about tackling high performance comp=
uting problems while maximising resources in ML environments.

Infrastructure is a critical component in enabling AI/ML teams to produce t=
he fastest and most valuable results. In this webinar, experts from Dell Te=
chnologies and Canonical will discuss how this can be achieved by solving i=
nterrelated hardware problems, from prototyping on the workstation to deplo=
ying and scaling on the server.

Production AI from data lake to workstation to server: Solving the hardware=
 challenges of computing efficiency, high performance and cost in ML enviro=
nments
19 August at 12 pm ET, and available on demand after the live session

<http://mkto-g0030.com/G6O0Vq00I5f5E0hV0310ZfG>

We hope to see you there.

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rtant;">Hi&nbsp;</span><span style=3D"font-family: Ubuntu, Arial, Helvetica=
, sans-serif; font-style: normal; font-variant-ligatures: normal; font-vari=
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<td width=3D"560" align=3D"left" valign=3D"top" style=3D"color:#717073; fon=
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ont-family: Ubuntu, Arial, Helvetica, sans-serif; line-height:24px; font-si=
ze:15px; color:#717073; font-family:Ubuntu, Arial, Helvetica, sans-serif; "=
><p>Join our upcoming free webinar to hear about tackling high performance =
computing problems while maximising resources in ML environments.</p> <p>In=
frastructure is a critical component in enabling AI/ML teams to produce the=
 fastest and most valuable results. In this webinar, experts from Dell Tech=
nologies and Canonical will discuss how this can be achieved by solving int=
errelated hardware problems, from prototyping on the workstation to deployi=
ng and scaling on the server.</p> <p><strong>Production AI from data lake t=
o workstation to server: Solving the hardware challenges of computing effic=
iency, high performance and cost in ML environments</strong><br>19 August a=
t 12 pm ET, and available on demand after the live session<br></p> <p><br><=
a href=3D
"http://mkto-g0030.com/a0013V06GE0I004V4OfqfZh" target=3D"_blank"
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