+TQ’s octoml address

> On Dec 12, 2020, at 5:24 PM, Triston Cao <[email protected]> wrote:
> 
> Hi, Tainqi,
> 
> Apache MXNet is on Monday. We are excited to have you being part of the 
> event. We have receive all presentations in recordings except your talk about 
> TVM and another one about Apache way.  It will be very helpful to have your 
> recordings today or tomorrow for this online event. There are a lot of good 
> talks about MXNet. And we look forward to meeting you on Monday.
> Thanks,
> 
> -Triston
> 
> From: Vartika Singh <[email protected]>
> Sent: Monday, November 30, 2020 10:31 PM
> To: Tianqi Chen <[email protected]>; [email protected]
> Cc: Triston Cao <[email protected]>; Zha, Sheng <[email protected]>; Sam 
> Skalicky <[email protected]>
> Subject: Present at Apache MXNet Day on Apache TVM and Machine Learning 
> Compilation
> 
> Hello Tianqi,
> 
> We are very excited to have you present on this event. Your talk has been 
> scheduled at 15:26 PM PST on Dec 14th for 30 minutes.
> 
> The agenda/time is still evolving. We will inform you if there are any 
> changes.
> Here is the updated website -  https://s.apache.org/MXNet2020
> 
> Action Required:
> 
>  *   We request you to send your recorded talk (30 minutes) to us by Dec 6th 
> midnight PST.
> 
> Question Answers:
> We plan to have a slack channel in parallel to your recording where you can 
> respond to questions while your recording plays. We will add the slack 
> channel names to the respective talks in a week.
> 
> Please reach out if you have any questions. We will send out the webcast 
> details by end of Wednesday.
> 
> Thank you
> Vartika
> 
> 
> 
> 
> 
> From: Tianqi Chen <[email protected]<mailto:[email protected]>>
> Date: Thursday, November 19, 2020 at 4:42 PM
> To: apachemxnetday 
> <[email protected]<mailto:[email protected]>>
> Subject: Apache TVM and Machine Learing Compilation
> 
> Abstract:
> 
> In this talk, I will talk about Apache TVM, its current state in the machine 
> learning ecosystem
> and how can ML compilation interplays with machine learning frameworks
> 
> TQ
> 

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