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From YouTube: Centaurus Monthly TSC Meeting 9/27/2022
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C
A
So
for
the
today's
call,
we
are
going
to
cover
about
the
whole
Healthcare
initiative
on
The
Centaurus
platform.
The
idea
with
Centaurus
on
the
healthcare
is
how
we
bring
the
overall
work
that
we
have
done
in
all
near
and
on
Actos
mizar,
combined
to
Showcase
an
end-to-end
customer
scenario,
and
the
goal
with
this
thing
is
basically
engage
the
community
with
the
real
time
scenario
and
see
the
center
as
capability
working
in
the
live
mode,
so
in
I
mean
any
thought
process
any.
You
want
to
add
to
this
thing
at
all.
No.
C
No,
it's
great
I
mean
we,
we
yeah,
we
went
we.
We
went
over
this
very
briefly,
a
very
high
level
with
your
team.
We
at
the
sow
discussion
right
but
great
to
hear
from
you
directly
yeah.
A
So
the
whole
idea
is
basically
to
energize.
The
community
to
Showcase
like
Centaurus
is
just
not
a
sort
of
a
research
project,
but
actually
it
is
a
functioning
application
model
which
can
be
utilized
into
industry
vertical,
and
this
is
just
the
beginning
of
the
whole
idea.
This
idea,
I,
think
like
will
go
very
far.
I
have
that
similar
discussion
on
the
in
the
Austin
Linux
con
with
Dr
Strong
on
this
one,
and
we
both
agreed
that
this
kind
of
initiatives
would
give
centuries
a
new
vision
altogether.
A
When
I
told
him
like,
we
could
do
it
as
a
part
of
this
thing
he
said
like
this
is
a
great
idea.
I
mean
if
you
can
start
this
initiative.
We
will
see
that
how
the
community
can
support
you
to
basically
turn
it
into
a
more
of
a
business
idea
and
eventually
either
it
can
be
part
of
the
overall
Community
or
click
to
Cloud,
can
bring
it
to
different
sort
of
like
Global
level
initiative
based
on
the
Centrist
platform.
A
So
the
next
step
for
this
thing,
can
you
go
to
the
next
slide?
Please
solution.
A
So
basically,
no
no
I'll
go
through
it.
That's
fine!
If
I
need
any
help,
I'll
ask
you
I
know
it's
a
very
basic
presentation:
yeah
should
I
keep
in
presentation
mode.
That
I'm
asking
yeah
yeah
I
mean
either
way
is
fine.
I
think
you
can
keep
in
presentation
or
normal
mode
is
also
fine.
So
basically
we
are
taking
up
two
different
initiative
here.
One
is
a
metaverse
and
another
is
a
healthcare
approach
and
from
the
healthcare
standpoint
precisely
my
goal
is
to
basically
work
with
the
existing
community
and
I.
A
Will
you
will
be
seeing
bunch
of
emails
from
me?
Is
how
do
we
see
the
existing
Centaurus
solution
integrated
in
the
real
life
environment?
So
we
have
dashboard.
We
have
all
the
other
things
already
in
place
like
the
whole
concept
of
the
transactional
unit
and
the
TPU
and
I
think
resource
unit
combined
for
scaling
model,
and
then
we
have
ability
to
VM,
as
well
as
the
container
based
solutions
that
are
already
in
place.
A
So
the
goal
is
to
create
a
blueprint
that
is
easy
to
Deployable
on
any
Cloud
infrastructure
or
basically
any
Cloud.
So
we
bundle
this
package
and
we
deploy
this
for
that.
A
The
whole
idea
is
to
basically
work
with
the
existing
overall
Community
team
playing
Dr
song's
team
winner
and
all
those
people
to
see
that
how
we
bring
arctos,
Mazar
and
and
the
alnair
all
this
thing,
and
for
next
combined
as
a
solution
for
H,
then
the
whole
Ai
and
then
the
overall
platform
for
the
computer
network
together
and
maybe
eventually
we
have
other
use
cases
where,
once
the
storage
integration
is
done,
we
can
work
toward
it.
So
bringing
the
entire
story
in
in
overall
go
with
that
thought
process.
A
A
You
know,
go
back
to
the
previous
screen
here
thanks.
Let
me
see
if
I
can
hide
the
presenters
here
here.
A
So
paying
any
questions
on
this
diagram
I
mean.
Is
it
self-explanatory
or
should
I
walk
through?
This
I
will
walk
through
this
segment,
but.
C
You'll,
be
great,
I
mean
I've,
seen
it,
but
I
think
there
are
some
people
on
the
team
have
not
seen
it.
I
think
this
is
a
very
good
use
case.
Yeah,
please
go
ahead.
Yeah.
A
So
any
medical
systems
in
the
world
is
typically
based
on
EHR,
which
is
electronic
health
records.
I
mean
when
you
visit
the
hospitals.
Every
thing
has
been
sort
of
like
captured.
These
days
is
electronical
record.
There
are
Imaging
systems,
Imaging
system
is
all
about
radiology
and
other
sorts
of
Imaging
from
sonography
to
all
sorts
of
Imaging
are
available
in
the
world.
Then
there
is
a
research
data,
typically
on
the
genomics
from
wet
labs
to
the
diagnostic
Labs.
Crm
is
all
about
the
any
CRM
in
the
world.
A
Salesforce
could
be
any
other
CRM
which
are
like
or
Microsoft
Dynamics
or
Oracle
financials,
and
the
billing
datas
are
there
for
a
hospital
typically,
so
those
data
needs
to
be
ingested
and
those
data
needs
to
be
created
on
edge
node.
So
we
are
thinking
of
using
allner
and
arctos
capacity
as
a
node
over
there
and
Roshan
correct
me
if
I'm
going
anywhere
wrong,
so
you
can
chime
in
in
between.
A
Then
we
have
safe
object,
which
is
a
storage
object
for
storing
the
the
data,
and
we
also
have
wearables
and
sensors
and
the
lab
information
and
Twitter
analytics
and
other
applications
mobile
like
bot
system,
which
could
be
bringing
the
data.
So
the
core
of
this
overall
system
is
Centaurus
platform.
A
This
is
going
to
be
a
big
test
for
all
of
us
in
terms
of
like
how
we
can
make
this
overall
system
functioning,
and
this
is
also
sort
of
like
in
as
a
TSC
member.
It's
a
a
big
challenge
that
we
thought
we
should
try
to
work
towards
it.
On
the
right
hand,
side
you
can
see
Power
App
application,
patient
portal
and
stuff
like
that,
but
it
doesn't
have
to
be
power
bi.
It
can
be
anything
like
looker
or
simple
Tableau
or
any
any
sort
of
solution.
A
So,
whatever
technology
you
see
except
the
the
part
of
Forex
and
then
the
the
overall
alternators,
everything
or
the
overall,
the
cloud
that
we
are
thinking
of
with
the
artist
mizar
and
alner
combine,
we
are
sort
of
like
making
a
small
Hub
that
can
be
deployed
on
on
any
Cloud
engineer.
A
The
hot
path
is
basically
the
live
data
and
the
code
path
is
basically
the
analytics
data,
so
in
some
way
the
cold
path.
If
you
see
the
CRM
and
the
other
EHR
data
sources
are
typically
cold
path
because
they
are
not
giving
the
transactional
data.
The
live
path
is
the
hot
path
is
like
the
streaming
data
which
is
like
live
in
nature,
so
variables
are
capturing
every
second.
The
data
medical
device
is
capturing.
Every
single
second
of
the
data,
or
even
the
lab
sometime
is
capturing.
A
C
Yeah
and
then
also
are
we
ready
to
say
this
is
going
to
be
cross
geography
or.
D
C
Should
have
to
be
one
day,
I
mean,
can
we
have
cross
jug
of
like
one,
for
example,
one
Edge
is
in
like
New
York,
another
Edge
is
in
California
and
then
the
cloud
is
in,
like
you
know,
London
or
something
like
that.
Are
we
ready
to
to
say
that.
A
Depending
on
the
foreign
X
age
capability,
if
Edge
is
able,
Edge
is
ready
with
the
installation
of
this
in
different
location.
Absolutely
in
fact,
we
can
also
make
it
in
terms
of
regional
Cloud,
so
it
can
be
a
platform
that
can
be
region
specific
to,
but
that
can
be
like
phase
to
phase
three
kind
of
an
approach.
A
So
so
what
we
are
thinking
is
basically,
how
do
we
bring
this
project
in
the
community
where
we
can
see
some
use
cases,
because
all
the
communities
that
has
been
successful
must
have
a
use
case
associated
with
that,
and
we
believe
that
our
community
can
Thrive
and
be
successful,
and
lot
of
adoption
will
happen
if
we
have
a
real-time
use
cases
for
it.
C
Yeah,
it
would
be
good
to
have
a
page
to
say
what
we
can
do
today
and
what
we
can
you
know
what's
in
a
vision
right
for
future
I,
think
we
we're
having
a
slide
for
that
like
because
that's
gonna
questions
that
come
up.
It's
like
okay,
the
diagram
looks
really
good.
It
looks
very
idealistic,
but
what
can
we
offer
today
versus
you
know
what
is
in
the
vision
that
we're
inviting
the
community
to
come
work
with
us
on.
A
So,
for
that
thing
like,
since
it's
a
TSC
is
technical
in
nature,
I
would
like
to
have
like
most
of
the
team
members.
Maybe
we
can
go
on
the
community
call
and
work
with
the
rest
of
the
team
members
and
understand
that
what
are
the
features
are
working
in
nature
because
I
have
not
yet
played
Roshan?
What
is
your
belief
like
you?
Do
you
think
the
current
Centaurus
is
capable
of
delivering
this
or
are
there
gaps?
A
This
whole
scenario
we'll
have
to
check
like
whether
centers
is
capable
of
doing
this
or
not
bring
any
idea
on
this
one.
Do
you
think
it's
a
possible
in
current
state.
B
I
have
a
few
questions
and
suggestion,
so
this
is
very
similar
to
something
something
we
have
been
working
on.
One
of
the
projects
here
so
I'll
start
with
some
suggestions,
so
the
fornix
edge
also
replace
total
score
from
this
Edge
core
and
the
frontex
Cloud
Core,
with
just
replace
the
core
with
cluster,
because
the
the
essence,
if
you
will
for
fornax
is,
is
about
you're
able
to
run
clusters
instead
of
a
single
machine,
so
the
same
core
that
gave
the
wrong
impression
there
yeah.
B
So
that's
the
first
suggestion.
Second
of
all,
there's
recently
we
gave
a
talk
at
open
source
Summit
in
Europe.
B
B
B
I'm,
looking
I'm
trying
to
find
the
recording
for
that
talk,
okay,
once
I
find
it
out.
I
will
send
that
to
you
yeah,
the
third
one
I
would
say,
is
you're
showing
Actos
in
this
three
boxes
here.
Yeah
in
my
impression,
octos
is
more
for
more
meant
for
the
cloud,
especially
very
larger
scale.
B
If
you
talk
about
the
the
Actos
2.0
that
that's
going
on
so
putting
octos
on
the
edge
or
close
to
the
data
source,
that
feels
feels
a
little
weird
that
doesn't
seem
to
align
with
what
Actos
is
designed
to
do,
but
for
next
Edge
cluster
definitely
is
for
that,
so
that
you
have
the
control
plan.
You
have
some
clusters
running
in
the
cloud.
B
That's
doing
the
integration
data,
that's
doing
the
basically
Gathering
all
the
data
model
from
different
edges
and
do
some
work
together,
essentially
to
update
the
model
back
to
the
edge
I'll.
B
Give
you
one
example:
one
is
the
hospital
some
Hospital
can
you
can
gather
data
of
covet
and
the
trainer
model
locally,
but
those
models
can
only
apply
to
that
single
hospital,
so
there's
paper
that
they
send
this
model
to
a
central
or
a
more
central
location,
so
they
do
aggregation
and
with
that
they
send
the
updated
model
back
to
different
Hospitals.
Now
they
are
able
to
detect
the
covet
from
other
Hospital
from
other
code
cases
that
other
hospitals
have
seen
so
I.
A
I've
been
I'm,
not
short,
of
use
cases
on
this
one
thing,
but
one
of
the
ideas
like
that
that
good
that
you
pointed
out
some
of
the
interesting
thing.
So
let's
talk
about
few
things
on
that
one
one
is
like:
okay
yeah.
We
replaced
the
whole
age
core
with
the
cluster.
A
A
D
Or
AI
I
can
add
something
like
so
far.
We
are
a
platform
means
like.
If
you
have
the
image
you
have
the
training
or
inference
algorithm,
we
can
definitely
serve
on
a
small
GPU.
Cluster
has
no
problems
and
we
also
provide
some
basic
cache
capability
and
data
analysis
ability.
So
that's
what
do
we
offer,
but
we
all
we
also
start
touching
the
application
layer.
D
One
application
we're
working
on
is
in
the
3D
rendering
field
probably
related
with
the
metaverse
application
you
listed
on
the
second
bullet,
that's
the
application
and
we
are
working
on
how
to
speed
up
the
rendering
part
foreign.
A
D
Oh
those
like
an
image
yeah,
a
medical
image
classification
waiting
out
to
provide
like
a
default
model
that
that,
based
on
what
a
user
brings
to
you.
D
D
That
rendering
is
to
generate
a
novel
views
like
if
you
have
say,
file
different
picture
of
a
car.
We
can
render
360
degree
of
the
view
of
that
car
and
God
generation
yeah.
A
I
mean,
typically,
we
are
looking
for
like
some
of
the
use
cases
when
we
are
using
with
like
AI
capability
to
have
from
the
computer
vision
standpoint.
Since
we
are
focusing
on
the
medical
aspect
of
it.
Is
there
any
scenarios
that
we
can
use
earlier?
In
the
current
thing,
the
AI
capability
sure.
D
If
you
just
want
to
do
some
like
that's
based
on
your
needs,
if
you
just
want
to
do
some
image
classification,
we
can
pull
some
standard
model
and
pack
a
container,
an
image
for
you
and
then,
when
you
use
it,
we
just
now
owner
just
like
a
inference
server.
You
submit
the
hospital
images
and
we
tell
you
what's
that,
so
that
can
be
done.
No.
A
But
at
the
same
time,
what
we
are
thinking
is
we,
this
entire
infrastructure
have
to
be
deployed
with
in
in
as
a
cohesive
environment
like
it
doesn't
have
to
be
like
you
have
to
send
a
separate
infrastructure.
It
has
to
work
as
if,
like
for
the
end
User,
it's
just
a
simple
application
where
the
use
cases
can
be
run
for
them.
They
don't
know
all
there.
They
don't
know
actors,
they
don't
know
measure,
they
don't
know
the
foreign.
A
Okay,
so
what
are
the
core
capabilities
of
rnaire
is
going
to
provide
in
the
current
development
cycle.
D
Oh
currently,
we
focus
on
the
infrastructure,
the
platform
like
how
to
orchestrate
different
jobs
among
the
along
the
GPU
clusters
as
and
do
the
cluster
Health
Management
and
GPU
sharing
focus
on
the
infrastructure.
D
A
No,
we
need
to
also
have
this
deployed
on
a
central
machine
where,
like
we
got
some
development
members
here,
ultimately,
this
has
to
be
created
for
the
demo
as
a
package.
Any
correct
me
if
I'm
wrong
on
this
one,
but
this
whole
system
has
to
work
for
the
community
right.
C
Yeah,
so
actually
it's
I'm
really
glad
we're
talking
about
this.
So
I
think
this
several
stages.
There
are
several
things
we
need
to
tackle
right
so
from
a
deliverable
standpoint.
I
just
want
everybody
to
know
apprition.
We
have
several
meetings,
the
you
know
as
we
had
with
RuPaul.
So
we
we
have
several
events
coming
up.
The
very
next
one
is
o3d
con
Rupert.
C
Now
we
have
a
talk
which
is
it
going
to
be
on
October
17
to
19
in
Austin
and
I
think
a
lot
of
audience
people
there
are
you
know
into
all
this
like
the
Imaging,
you
know
metaverse
kind
of
people,
and
then
we
want
to
talk
about.
We
want
to
use
this
demo
because
there
are
two
use
cases
here:
one
is
Healthcare
and
the
other
one
is
metaverse
right,
centers
for
healthcare
center
for
his
benefits,
but
then
I
can
see.
C
Center
centers
for
healthcare
can
be
like
the
stage
one,
the
basic
Healthcare
kind
of
infrastructure
based
on
Centaurus,
and
then
we
can
take
it
to
the
next
level,
which
is
metaverse,
and
that's
for
medical
people
to
do
training.
For
example,
what
you
guys
talk
about
Earl
in
there
that
who
is
that?
That's
all
boy
was
saying
you
know
you,
we
can
do
3D
image,
rendering
and
that
kind
of
stuff.
C
So
I
can't
think
of
a
scenario
that
if
a
surgeon
wants
to
teach
people
how
to
do
heart,
bypass
surgery,
right
and
all
the
medical
students
are
everywhere,
they
are
in
New,
Jersey,
New,
York
California
and
the
teach
teachers
in
Austin.
So
they
can
oh
put
a
kind
of
a
metaverse
goggle
and
look
at
that
heart
image.
3D
heart
image
and
the
professor
can
teach
that
so
as
if
everybody
is
in
one
single
virtual
room,
so
I.
C
That
would
be
the
meta
verse
for
Medical,
Training,
right
and
actually
I
saw
that
exact
same
story
in
60
minutes.
So
it
is
happening
today
and
people
are
doing
thinking
that
way.
So
it's
not
science
fiction.
So
if
we
can
be
more
concrete
on,
you
know
like
Medicare,
the
centers
for
Medicare,
you
know
this
is
this
scenario,
and
then
we
can
take
it
to
Next
Level,
which
is
next
use
case.
C
How
do
you
apply
matter
verse
into
this
whole
Healthcare
scenario,
and
and
we
can
use
the
heart
bypass
surgery
as
an
example
right
and
more
concrete?
We
can
give
to
people
the
more
confidence
people
are
going
to
have
in
us.
So
from
a
deliverable
standpoint,
you
know
we
have
several
events
coming
up.
One
is
o3d
Con
in
October,
and
next
one
is
oae
Seattle,
so
we
will
have
a
c
c-level
Round
Table.
Actually
we
bought
a
half
day
co-located
event
at
the
one
in
Seattle,
Prashant
I
would
definitely
love.
C
If
you
can
make
it
I
know,
you
guys
have
a
board
meeting
and
stuff,
but
if
you
can
just
even
pop
in
and
I'll
be
happy
to
even
give
you
a
shot
to
talk
and
our
goal
is
to
have
this
technology
strategist,
the
sea
level.
People
come
we're
targeting
about
50
people
and
it's
going
to
be
in
the
middle
of
one
event.
So
oae
will
live.
This
Foundation
will
promote
it
for
us
and
I.
Think
it's
a
very
good
opportunity
to
capture
and
then
it's
Foundation
audience.
C
So
it's
going
to
be
50
people
event
and
we
have
half
day,
and
so
we
want
to
make
our
half
day
more
attractive
to
people.
So
with
the
topic
would
be
Centaurus
and
the
metaverse.
So
again
we
can
use
the
same
use
cases
here
and
you
know
we
can
present
it
there
and
that's
going
to
be
November
15
to
16
in
Seattle.
So
that's
that
and
then
there's
also
other.
You
know
other
events
like
member
Summit
and
other
events
that
you
know
we
can
leverage.
C
But
these
are
the
two
major
events
that
we
want
to
make
sure
that
we
can
leverage
the
material
we're
working
on
and
present
them
there
and
this
material
so
for
deliverable
for
content,
content,
preparation,
standpoint
number
one
is
I,
think
you
know
this
graph
or
this
picture.
It
gives
a
very
basic
fundamental.
You
know
kind
of
vision,
but
I
do
think
it's
still
I
mean
for
anybody.
Technical
they'll
have
a
lot
of
questions.
C
Just
like
Prashant
was
asking
earlier,
so
it
would
be
good
for
our
next
step
will
be
our
technical
team
and
Prashant
your
team
to
get
together
and
nail
down
all
these
questions
that
you
ask
right
exactly
what's
what
we
can
do
today
and
what's
in
the
vision,
I
think
we
need
to
have
that
very
clearly,
because
we
can't
when
we
go
present
this
much
material,
we
can
just
do
a
smoky
mirror.
We
have
to
be
very
precise,
okay.
This
is
what
we
can
do
today,
but
for
any
open
source
project.
We
know
it's
never
complete.
C
That's
why
we're
presenting
to
the
community
and
we
want
them
to
help
us,
but
we
should
at
least
number
one
what
we
can
do
today
so
position
your
team
and
tell
boys
team,
and
then
you
know
and
just
Dr
Sean's
team.
We
can't
Palm
juice
team
can
get
together
and
figure
out.
Okay,
exactly
what
Forex
can
do
today
and
then,
what's
in
the
vision,
you
know
down
the
road,
what
we
can
do
and
then
same
as
the
other.
You
know
you
know
arctos
on
there
midsar
what
we
can
do
today.
C
We
should
have
a
sheet
a
page
for
that
and
add
it
to
this
presentation,
and
then
we
can
also
have
a
page
for
future.
What's
our
vision,
so
what
we
can
do
today
can
be
within
one
region
and
in
the
future
we
can
across
have
across
the
region
and
for
you
know,
a
AI
part.
What
we
can
do
today,
like
3D
in
rendering
and
what
what
we
can
do
in
the
future
and
which
is
you
know,
metaverse,
that's
a
lot
more.
You
know
complex
involved
so
and
then
we'll
fill
the
Gap.
C
We
do
have
my
team.
We
do
have
experts
in
metaverse
area
like
so
metaverse
is
huge.
I
mean
it's
not
just
3D,
rendering
there's
a
lot
more
than
just
that,
but
what
we
can
position
is
Centauri
is
the
foundation
to
make
all
this
happen
right.
So
so
again,
my
my
feeling
is
this.
This
picture
is
good,
gives
the
basic
to
work
with,
but
we
do
need
to
nail
down
more
and
then
to
take
it
to
Next,
Level
I
think
the
that
would
be
so.
The
first
phase
is
the
content.
C
We
need
to
know
what
exactly
we
can
do
today
and
what's
the
vision,
and
then
we
have
this
information,
and
the
next
thing
is
we
can
do
the
demo,
so
we
should
be
able
to
have
a
turnkey
demo,
like
you
know
very
simple
scenario,
and
then
we
can
just
run
the
demo
really
quickly
at
various
conferences
and
and
then
that
would
involve
some.
You
know
scripting
and
development
work,
so
that
would
be
even
further
down,
but
for
at
least
for
October
17
that
o3d
conference
actually
I
have
related
this.
C
A
I
mean,
as
you
recommended
Annie,
that
we
need
to
have
a
meeting
with
the
technical
team
to
break
it
down.
I
mean
just
at
looking
at
the
picture.
Pengu
already
gave
us
such
a
good
suggestion
that
the
age
score
has
to
turn
into
cluster
arctos,
have
to
move
into
the
central
location
and
then
I
think
I
forgot
the
name
of
her,
but
she.
A
C
C
A
So
basically,
with
Zhang
and
fengdu
can
help
us
to
tee
this
up.
Basically,
because
most
of
the
scenario
I
think
my
team
is
very
comfortable
with
Arcos
and
mizar
because
they
have
worked
very
closely,
but
these
two
pieces
have
been
always
unknown
for
us,
so
as
a
Next
Step
Roshan,
what
you
need
to
do
is
get
the
excuse
me
guys
are
deployed
which
is
like
a
Centaurus
and
then
basically
also
deployed
the
foreign.
A
On
understanding
that
how
the
alnair
can
be
integrated
into
that
piece
as
a
service,
so
this
has
to
be
sort
of
an
on-premise
installation,
run
this
system
either
into
Dr
Sean's
environment
enter
in
our
environment.
A
Whatever
is
possible
right
now
with
the
given
timeline
and
then
have
a
clear-cut
use
case,
so
at
least
have
just
a
basic
use
case
like
if
we
pull
the
research
data
on,
for
example,
hard
data,
then
how
to
analyze
that
image
is
360
degree
and
then
take
it
to
the
to
take
it
to
the
story
slowly
towards
the
metaverse
portion
of
it.
So
I
think
we
need
a
one-to-one
meeting
with
all
the
three
teams,
like
the
alternator
team,
the
the
for
next
team
and
also
The
Centaurus
team.
C
C
Let
me
consult
Doctors,
show
on
this
person
I'm,
not
sure,
because
we
are
working
on
different
priorities
right
now:
okay,
all
right,
so,
okay,
so
so
just
Roshan,
so
I
want
to
let
you
know
that
as
part
of
the
sow
deliverable
I'd
like
to
have
one
page,
so
what
we
can
what's
today's
capability
and
then
we
another
slide
for
you
know
Vision
in
the
future,
so
I'm
very
concrete
what
we
can
deliver,
what
we
are
hoping
to
deliver
so
for
both
use
for
both
use
cases.
C
We
should
add
two
more
slides
and
then
just
work
with
the
technical
team.
B
C
The
information
and
and
for
the
technical
team
for
the
demo,
you
know
we
can
always
prioritize
the
first
one
is:
if
we
can
do
a
you
know,
live
demo.
That
kind
of
thing
I
know
that's
more
advanced.
C
At
least
we
should
be
able
to
do
the
you
know:
Smoky
mirror
kind
of
thing
right,
like
a
movie,
just
to
show
how
things
can
be
done
and
have
something
that's
pre-recorded,
so
that
that
would
be,
if
that's
easier
to
do
first
and
then
you
know,
then
we
can
use
real
data
down
arrow
like
I
understand,
Dr
Jones
team's
got
different
priorities,
but
you
know
for
the
for
the
demo
down
the
road.
C
Is
that
something
for
you
to
consider,
but
the
very
minimal
before
October
15,
the
for
the
sow
deliverable
I
would
like
to
know
what
can
be
done
today
and
I
have
a
slide.
What
can
be
done
today
and
what's
in
the
vision
for
future?
That's
a
very
minimum.
We
should
have
that
content.
Otherwise
you
know
to
be
honest,
I,
you
know,
I
I,
don't
feel
comfortable,
presenting
this
to
use
cases
to
the
outside
world.
A
Yeah,
so
Annie
I
will
try
to
see
that
if
I
can
make
time,
I
mean
I'll
ask
Rupal
if
she
is
available
or
not.
Otherwise,
I
will
go
with
you
to
present
that
because
these
are
like
kind
of
technical
stuff.
So
while
we
need
somebody
from
the
sales
and
marketing,
it
might
also
attract
lot
of
technical
questions.
So
I'll
talk
to
Rupal
internally
about
that,
because
this
becomes
important
step
for
us.
When
we
are
bringing
the
world
this
kind
of
region,
then
we
need
to
have
real
technical
people
also
engage
into
this
presentation
right.
C
I
I
feel,
like
you
know,
I
mean
you
guys
have
done
a
great
job
and
then
getting
out
this
talk
like
o3d
and
then
you
know
I
know.
Rupo
has
been
working
very
hard
to
get
us
that
all
these
talks
and
now
we're
putting
ourselves
on
Center
Stage
yeah.
We
need
something
solid
to
show
so
yeah
you're
always
welcome
whenever
I'm
speaking,
your
help.
Kids
definitely
appreciated.
That's
greatly
appreciated
okay,
so
so
this
one.
C
So
so
at
least
we
know
who
is
who-
and
we
get
this
done
and
it
looks
like
the
Dr
Jones
team
has
done
something
similar
and
we
just
need
to
merge
the
knowledge
banks
on
both
sides.
And
then
you
know
create
this
ultimate
official.
You
know
slide
for
for
Centaurus
projects
and
and
again
you
know
so
Roshan
knows
the
our
timeline.
So
I
know
what
kind
of
yeah
running
short
on
time.
So
yeah,
okay,.
A
Maybe,
as
a
Next
Step
we'll
set
a
one-to-one
meeting
with
pengu
because
he
is
greatly
knowledgeable
in
this
area
and
Miss
Zhang
on
understanding
the
AI
capability
and
we
already
have
like
Centaurus
deployment
capability.
So
we'll
pull
the
latest
code
base
Peng.
Can
you
talk
about
the
UW
Bothell
initiative
that
you
mentioned
about?
Did
you
able
to
find
that.
B
I
I'm
still
looking
for
it,
but
I.
Think
I
was
the
give
me
a
few
more
seconds
and
I'll
send
a
link
in
the
chat
you
got
it
yeah.
D
I
think
today's
agenda,
Deepak
asked
me
Toki
will
update
on
the
owner
as
well,
so
since
yeah
sure
I'm
really
curious
what
the
owner
can
do.
So
I
just
do
a
quick
update
and
maybe
you
guys
can
leverage
some
of
the
components
working
on
the
metaverse
part.
It
could
be
a
little
bit
easier
on
the
health
part,
because
we
have
some
apis
and
services
there.
Okay
hours.
D
Okay:
okay,
next
page.
D
Now
it
works,
so
I
wonder,
is
the
AI
part
of
the
AI
component
of
The
Centaurus,
and
the
first
of
all
is
a
cloud
native
AI
platform
so
means
every
workload
we
serve
are
in
the
container
format
and
we
categorize
okay,
we
categorize
the
AI
stack
in
those
four
layers
and
we
try
to
do
optimization
on
each
of
the
layers
on
the
bottom
is
the
hardware
and
then
the
container
platform,
and
then
the
machine
learning
framework
and
then
the
emerging
application
and
for
the
emerging
applications,
our
LR
side,
we're
working
on
the
3D,
rendering
the
neural
rendering,
which
mainly
means
based
on
some
existing
image.
D
We
can
generate
the
novel
views
and
in
the
matters
scenario,
one
thing
we
identify
we
could
do
is
like,
like
a
immersive
meeting
or
those
game
play
scenario.
What
we
do
is
we
track
the
real
person's
face
expression
and
then
we
drive
Avatar.
We
control
the
Avatar's
facial
expression
and
then
create
that
that
got
virtual.
A
D
True
scenario,
and
for
for
this,
for
this
part,
we
have
some
algorithm
and
API
remedy
for
others
to
call
I
think
that
is
the
no.
This
part
is
the
most
relevant
part
and
then
go
go
down.
Is
we
have
a
cache
manager
which
Leverage
The
in-memory
storage
to
Cache
the
training
data?
D
So
when
you
do
the
training,
you
will
be
faster
and
we
also
have
elastic
framework
on
this
level.
We
can
do
the
elastic
training,
which
means,
instead
of
using
one
single
machine.
We
can
use
multiple
machines,
so
the
training
will
be
faster.
Okay
back
to
the
goal
is
so
far
we
focus
more
on
the
training
side.
It
means
like
if
you
want
to
generate
a
image
classification
model
or
you
won't
have
a
language
model.
D
You
use
our
training
platform
I,
think
that
is
a
little
harder
tool
for
for
the
demo,
everybody
that
demo
purpose
and
for
the
container
platform
there
are
a
few
components
we
developed
is
mainly
on
the
crd
controller
patterns.
D
We
have
our
own
jobs,
we
have
our
own
pod
and
when
you
deploy
those
training
jobs
you
use
on
our
jobs
and
then
all
the
infrastructure
resource
management
will
be
taken
care
by
our
controller
and
at
the
lowest
level
we
have
our
own
GPU
and
the
network
plugin
to
make
the
whole
infrastructure
fast.
That's
the
no
I
should
have
more
pages,
and
the
problem
we
are
solving
is
the
challenges,
including
the
how
to
load
the
data
fast,
because
these
days,
the
compute
capacity,
the
compute
bandwidth,
is
way
more
than
the
network.
D
Bandwidth
network
is
always
often
the
bottom,
so
we
work
on
how
to
load
data
fast
and
then
profiling.
We
try
to
accelerate
the
training
right
and
we
need
to
identify
where
the
bottom
neck
is.
First,
so
we
design
we
Implement
our
own
profiler
to
do
cross
layer,
profiling
and
data
correlation.
Then
we
know
where
the
bottom
neck
is
and
then
for
the
GPU
management.
Some
inference
drop
is
especially
I.
Think
these
days
for
the
image
classification
or
just
a
translation,
they
won't
fully
use
one
GPU.
D
Then
we
can
do
the
GPU
sharing
to
make
the
resource
utilization
higher
and
another
important
thing
I
mentioned.
As
for
the
training,
is
we
want
to
do
the
distributive
way
and
auto
elastic?
If
we
have
more
resources,
we
can
run
faster
and
the
underneath
knowledge
need
to
work
on
is
the
data
or
the
model
parallel
and
also
for
the
network?
D
We
are
looking
at
the
RDMA
Network
to
replace
the
standard
tcpip
to
reduce
the
the
times
of
copy,
and
then
in
this
slides,
I
prepared
a
couple
of
high
highlights
of
the
existing
features
we
developed
I.
Think
it's
not
a
too
relevant,
but
I
can
focus
on
the
the
neural,
rendering
part.
C
D
Is
How
We
Do,
the
providing
we
have
our
own
supporter
and
the
time
series
data
are
collected
at
a
different
level.
Gpu
Cuda
and
the
pattern
level
exported
to
the
temp
service
database
and
our
profiler
will
do
some
data
aggregation
and
data
analysis
and
that's
the
part
of
the
E4
click
to
Cloud
want
to
leverage
I.
Think
here
are
some
applicability
here
and
to
achieve
this
we
need
to
insert
a
little
intercept
library
in
the
user
part.
Then
we
can
extract
all
the
data
and
another
feature
is
our
AI
folder
system.
D
Instead
of
serving
the
AR
workload,
our
lnr
system
is
designed
in
the
intelligent
way
as
well.
This
is
a
example
how
to
do
the
GPU
scheduling.
We
will
first
collect
some
metrics,
the
key
Matrix
for
each
workload,
including
say
the
GPU
utilization
and
the
memory
utilization,
and
then
we
do
clustering,
and
then
we
have
a
knowledge
base.
We
know
which
kind
of
drops
they
run
together.
They
perform
better
than
other
Pairs
and
based
on
that,
we
will
do
a
Dynamic
scheduling
scheme.
D
We
will
do
our
suggestions
and
run
the
Clusters
and
see
how
the
the
job
completes.
How
long
it
takes,
and
if
it's
a
good
pairing,
a
good
sharing
strategy,
we
will
keep
enforcing
it
and
if
it's
not
a
way
just
to
a
different
randomization,
we
generate
the
different
scheduling
recommendations.
D
So
in
this
way
we
are
dynamically
improved
our
scheduling
strategy
and
another
thing
is
about
the
the
data
caching
I
mentioned.
The
data
feeding
is
one
of
the
big
problem
and
how
to
bridge
the
big
data
and
the
AI
is
around
the
issue
of
the
platform
are
targeting
ad,
and
here
we
leverage
different
types
of
caching
classes.
We
could
use
a
redis
or
Alexa.
Those
are
the
two
different
type
of
memory.
Caching
component.
D
We
can
also
use
a
minimum
like
a
Linux
temp
advisor
system
to
Cache
our
data,
and
in
this
way
the
the
training
data
are
precached,
prefetched
and
cached,
so
the
training
will
be
faster,
okay
and
then
we
move
to
the
most
relevant
part.
This
is
a
neural
neural,
rendering
application
and
we
have
a
model
pre-trained
the
model
and
also
pre-trained
Avatar.
You
can
use
what
it
can
do
is
we
will
have
a
sales
person.
This
could
be
a
real
person,
sit
in
front
of
the
computer.
D
Whatever
you
do,
we
will
extract
it
into
effect,
vector
and
then
mapping
into
our
Avatar.
So
this
in
this
way,
you
can
design
your
meters
with
your
popular
Avatar,
okay,
because
that's
my
overall
introduction
and,
if
you're
interested
in
this
part,
we
can
discuss
more
in
the
different
meaning.
A
I
think
this
is
very,
very
cool,
actually
I
like
it.
The
way
you
have
put
together
this,
because
this
can
have
many
use
cases.
In
fact,
what
I
was
thinking?
Annie
is
like
going
for
a
simple
use
case
for
a
remote
diagnostic
through
the
mobile
application,
so
which
is
like
very
easy.
A
I
mean
we
face
like
around
the
globe
about
at
least
50
to
60
percent
people
are
living
in
like
rural
part
of
the
world,
and
most
of
them
do
not
have
like
more
to
go
to
the
bigger
cities
for
their
diagnostic
purposes.
So,
rather
than
making
like
very
complex,
we
can
make
a
simple
scenario
where
we
can
have
a
remote
diagnostic,
app
based
on
the
AI,
where
people
can
come
and
showcase
like
initial
symptoms
on
their
phone
and
have
like
some
level
of
communication.
A
So,
based
on
the
data
and
knowledge
graph,
the
answers
can
be
given,
and
then
it
can
tell
initial
diagnostic
like
okay,
you
might
have
one
or
the
other
problem
problem
and
I
mean
I
like
the
overall
thing
of
the
Avatar
thing,
but
the
real
life
application
would
be
more
meaningful
for
the
people
who
are
coming
to
the
conferences
where
we
show
that
we
make
an
impact
onto
the
society
in
general.
Also
yeah,.
C
A
So
that's
just
a
thought.
Right
now,
I
mean
we
can
show
all
the
heart
and
other
stuff,
but
we
can
always
start
with
a
simple
what
a
healthcare
bot
where
people
can
come
and
say
like.
Oh,
what's
your
symptoms
today
and
they
can
say
like
I,
have
eye
problem
and
then
they
take
the
eye
picture
and
then
it
goes
through
the
the
cleaning
of
the
image.
Sorry
go
ahead:
Miss
sign!
Oh.
D
This
could
work
yeah
yeah
I
mean
that's,
that's
the
reason
we
work
on
this
is
because
it's
the
challenging
the
challenge
is
because
the
the
source
is
not
aesthetic
it's
a
dynamic,
moving,
moving
object.
I
like
for
your
case,
if
you
just
say,
want
to
do
diagnosis,
you
can
easily
do
say
from
a
file
picture
of
your
eyes.
We
can
generate
a
3D
view
of
your
eyes,
so
doctor
can
view
better,
that's
kind
of
application.
We
can
that
this
algorithm
definitely
can
do,
which
is
The,
Ether,
easier
part.
A
C
Yeah,
so
so
I
like
this,
you
know
remote
dynastic.
We
can
tag
that
to
the
healthcare
case
right
at
the
end,
one
of
the
applications
can
be
remote,
diagnostic
yeah.
As
far
as
metaverse.
This
to
me
is
not
a
matter
of
bit.
This
is
actually
realistic
scenario.
It's
not
metaverse
metaverse
to
me
is
like
people
are
assuming
you
know,
they
are
not
showing
their
own
face
right,
it's
kind
of
thing.
So
so
we
still
need
a
metaverse
story,
but
this
one
I
think
it
can
add
a
lot
more.
C
You
know
zest
to
the
healthcare
scenario
we
can
see
at
the
end.
You
know
at
the
on
the
end
user
side.
This
is
the
kind
of
application
we
can
run
with
AI.
So
hey
a
quick,
quick
question
double
so
this
you're
talking
about
this
is
just
training.
What
about
inference
is.
Does
this
elder
work
with
inference
on
the
edge,
because
my
understanding,
you
can
do
training
on
the
cloud
side,
but
then
you
might
be
able
to
do
some
inference
and.
D
This
is,
this
is
actually
influenced
and
that's
the
reason
I
call
the
meters
is
like
it's
not
your
face
is
other
people's
face.
It
could
be
any
person's
face,
it
could
be
say
Brad,
Pitt
or
anybody,
but
you
control
it
and
the
training
part
is
you
got
this
Brad
Pitt
ready
and
in
the
inference
part
you
just
inject
your
own
source
with
you
that
that
is
actually
the
inference.
A
So
let
me
think
about
it.
It's
a
very
interesting
and
like
really
good
work,
can
we
see
the
demo
of
this
thing.
Miss
Zhang.
A
All
right
that
would
be
awesome,
I
mean
if
I
can
see
the
demo.
That
would
be
amazing,
because
these
are
important
for
us
and
once
the
demo
is
ready,
then
we
know
the
end-to-end
scenario,
how
it
works
and
we
can
try
some
use
cases
with
that,
but
any
I
am
with
you
on
the
metabus
will
do
the
heart
related
things,
the
heart
training,
but
this
will
create
the
video
on
that
one.
C
A
A
C
You
know
we,
since
we
don't
have
a
lot
of
resources,
the
more
we
can
just
focus
on
one
vertical
to
make
it
more
data
Rich,
the
information
Rich,
the
better,
absolutely.
C
A
Mean
no
I
think
we
Are,
we
almost
covered
it
right
any
on
that
area.
We
need
to
refine
that
presentation.
We
need
to
meet
with
the
team
one
to
one
with
peng
and
one
to
one
with
Miss
sang
and
I
can
also
touch
with
Dr
song
about
his
help
on
finishing
some
of
the
things
on
The
Centaurus
side
of
the
world.
Mangani
can
help
us
with
that.
So
I'll
probably
start
a
separate
email
trade
on
the
the
TSC
for
all
the
three
scenarios.
A
Try
to
recap
mainly:
will
you
be
able
to
recap
today's
conversation?
If
not,
then
I
can
do
it
for
you.
So.
C
I
will
do
the
meeting
minutes
but
after
you
speak
about
the
email
address,
yeah.
A
C
C
All
right
and
yeah
prashani,
if
you
feel
free,
so
we're
gonna,
meet
every
Friday
eight
o'clock
just
to
because
to
go
over
all
these
sows
and
that's
kind
of
the
you
know
time
we
set
for
that.
So
just
want
to
let
you
know
just
to
keep
the
momentum
going
and
for
the
first
sow
it's
October
15.
We
want
to
make
sure
that
we
have.
You
know
both
use
cases.
C
You
know
presentation
done
and
then
also
we
need
an
article
to
describe
each
use
case,
a
Blog
to
describe
use
case
and
then
a
video
for
each
use
case.
So
these
three
deliverables
by
October
15.
A
A
Track
I
know
that
people
are
already
working
on
it
and
that's
going
on
track
with
that.
But
I
want
to
see
that
in
the
meantime,
if
we
can,
at
least
by
November,
we
can
get
the
demo
ready
with
the
TSC
team,
then
that
would
be
awesome
because
then
we
can
show
something
actually
working,
not
like
just
a
smokier
kind
of
a
presentation.
Yeah.
A
Especially
to
to
launch
into
the
community,
but
at
the
same
time
it
would
be
useful
from
and
learning
also
from
an
understanding
perspective,
because
such
a
great
work
has
been
done
by
the
team.
So
I'm,
like
I'm
sort
of
like
excited
to
see
what
Miss
Rangers
presented
today
in
terms
of
like
Avatar
and
all
those
things
and
how
it
can
be
used
in
real
time
scenario.
A
C
Anything
else
anything
else
that
you
guys
want
to
discuss.
A
A
B
I
was
a
little
surprised
to
see
the
the
that
slide,
because
that
is
very
similar
to
the
what
we
are
trying
to
do
here.
Yeah.
B
Just
out
of
curiosity
for
my
side,
also
for
any
of
this
question
as
well,
the,
where
did
you
guys
arrive
at
this
topic
of
healthcare?
How
did
you
guys
find
this
topic?
We.
A
Have
a
hospital
that
is
actually
interested
in
building
this
platform
that
is
west
of
Southeast
Asia.
So
there
is
a
real
customers.
B
A
C
Yeah,
because
this
is
what
we
need
for
Centaurus
project
to,
we
should
really
focus
on
getting
some
users,
so
I
think
it's
it's
very
nice
that
click
to
cloud
is
providing
a
prospective
users
and
and
then
we
start
with
something
we
have
to
start
with
something
right.
C
They
can,
but
we
should
at
least
have
the
minimal
information
like
this
is
what
we
can
do
today,
and
this
is
in
the
vision,
and
these
are
the
gaps
that
you
know,
and
then
we
can
figure
out
if
we're
gonna,
you
know
how
we
can
recruit
other
people
to
come,
help
us
fill
out
those
gaps
and
then
eventually
click
company,
like
click
to
Cloud.
They
can
productize
it.
You
know
and
then
put
a
differentiator
on
it,
productize
it
and
sell
it.
A
Actually,
we
have
two
different
two
different
industry
vertical,
which
were
interested.
One
was
like
the
Telco
industry.
We
have
a
full
use
case
ready
for
about
seven
telcos,
but
the
problem
was
the
current
centers.
Doesn't
support
storage
and
their
biggest
need
was.
The
storage
has
to
work
with
the
edge
Computing.
So
that's
where
we
kind
of
backed
off
and
we
took
up
the
healthcare
scenario.
So
Annie
knows
the
entire
detail
right.
We
started
with
the
Telco
discussion.
A
B
Do
you
guys
have
any
material
on
the
hospital
cases,
such
as
what
they
are
looking
for.
A
Basically,
one
is
the
remote
patient
monitoring
which
was
I
was
talking
about,
and
second
was
more
of
overall
Business
Solution,
where
edge-based
solution
can
do
AI
on
the
centralized
location,
and
they
are
looking
at
like
both
cloudway
Solutions
or
they're,
looking
at
like
either
on-premise
Solutions.
So
many
crowd
providers
like
Azure
or
AWS
have
their
own
set
of
solutions
and
the
healthcare
ready,
but
they
want
to
try
if
there
could
be
something
on
premise
in
nature,
which
can
be
more
like
a
regional,
Cloud
kind
of
a
scenario.
B
Okay,
yeah.
That
sounds
a
lot
like
what's
in
that
video
I
provided,
so
it
would
be
good
to
find
some
comments
around
there
and
move
forward
absolutely.
A
And
that's
why
we
are
like
literally
looking
for
your
help
to
see
that
how
we
can
recreate
this
story
successfully,
because
any
project,
unless
it
is
put
to
a
real-time
use
case,
it
will
not
see
the
day
of
light.
I
mean
I,
understand
its
services,
but
the
research
has
to
lead
to
some
use
case
on.
A
This
is
good
yeah,
so
we
are
very
implying
towards
whatever
you
guys
are
trying
to
do
here
and
looks
like
this
could
become
a
next-gen
star
of
the
open
source
Community.
If
we
put
real
scenarios
around
it,
okay.
B
C
I
absolutely
agree
with
Prashant
is
kind
of
a
catch-22
right.
If
we,
if
we
don't
show
like
some
compelling
use
cases
out
there,
then
it's
hard
to
recruit
other
people
to
come,
join
the
project
and
then,
in
that
case
the
project
cannot
grow
in
a
healthy
way.
Because
then
it's
just
going
to
be
future
weight.
You
know
project
and
our
goal
is
to
get
us.
You
know,
as
many
member
companies
as
possible,
I
mean
right
now,
it's
just
future
way
and
I
I,
don't
think
that's
the
right
direction.
We
should.
C
We
should
be
able
to
go
out
there
and
show
show
I.
Think
that's
part
of
the
I
don't
know
success
criteria
is
like
the
more
we
need,
validation,
at
least
from
user
standpoint,
and
also
from
other
peer
developer
standpoint.
We
really
need
validation
there
so
going
out
there
presenting
these
use
cases
can
give
us
the
validation
that
we
need
for
this
project.
So.
C
And
then
for
the
next
use
cases,
The
Meta
verse,
because
there's
definitely
a
lot
of
hype
around
metaverse
and
so
and
then
also
you
know
a
future
way
ourselves,
you
know:
do
we
actually
have
a
metaverse
focus?
We
have
a
team
of
people
who
are
looking
into
metaverse
and
the
metaverse
is
pretty
much.
It
touches
everything
it's
just
like
the
club
from
10
years
ago,
everybody's
talking
about
metaverse,
everything
is
metaverse
right.
It's
anything
in
the
science
fiction
is
a
metaverse.
So
so
we
are
trying,
because
we
really
have
the
you
know
realistic.
C
We
we
have
people
who
are
participating
in
those
mediverse
projects
in
the
open
source
community.
So
we
have
something
substantial
can
help
us
to
give
us
credibility.
So
we
can
use
metaverse
as
to
generate
excitement
and
then,
and
then
we'll
say,
Centaurus
is
the
perfect
platform
for
metaverse.
You
know
and
because
then
Taurus
is
the
strength.
Is
you
know,
High
scalability
quality
and
low
latency?
You
know
distributed.
C
This
is
perfect
setup
for
metaverse
and
I.
Think
many
of
us
can
give
us
that
excitement
and
I
know
today
it's.
It
was
still
very
far
from
the
true
deployment
of
metaverse,
but
at
least
we
can
tell
the
story,
and
then
we
have
the
aips
already.
We
have
the
edge
piece
already
and
you
know,
and
then
we
have
Centaurus
platform.
That's
all
these.
You
know
characteristics
and
tours.
We
really
think
what
at
the
right
time
to
talk
about
you
know
Center
is
for
metaverse.
C
So
that's
why
we
think
that
also
can
help
us
generate
a
lot
of
interest,
because
you
know
we've
been
talking
about
centaurs
for
two
years
already.
We
really
need
some
energy
into
it,
and
Healthcare
is
hot
because
of
the
covet.
You
know
the
pandemic,
and
none
of
us
is
hot
and
we're
hoping
that
using
these
two
use
cases
can
we
can
help
regenerate
energize,
The
Centaurus
Community.
Well,
the
centaurs
project.
B
I'm
actually
also
curious
about
that
technical
case,
but
any
I
think
I
will
ping
you
offline
yeah
to
to
hear
a
bit
more
about
that
part.
We.
C
C
Definitely
Telco
I
think
because
you
know
our
sponsor
is
doing
is
in
the
Telco
business
for
sure.
So
definitely
Telco
is
still
very
much
on
the
you
know,
plan
I
think
once
we
get
these
two
done,
we
also
have
a
format
of
working
or
the
click
to
cloud
and
then
how
we
built
use
cases
and
then
the
next
one
should
be
easier,
because
a
lot
of
material
can
be
reused.
It's
just
how
we,
you
know,
spin
the
story
and
then
how
we
round
up
the
solution,
gaps.
A
Next
year
is
an
exciting
year.
I
mean
I
am
excited
by
looking
at
all
the
progress
by
the
way,
so
I
had
been
little
bit
of
like
anger
movement
in
the
past
with
any,
but
that
was
because
of
I
was
not
seeing
much
of
the
progress,
but
when
I
see
some
of
the
things
happening,
I'm
excited
because
I
can
see
that
we
can
present
metaverse.
We
can
present
Healthcare,
we
can
present
Telco
in
the
next
year
and
we
can
energize
the
entire
Community
to
see
how
how
good
the
Centaurus
capabilities
are.
C
Yeah
yeah
I
mean
I,
understand,
I
mean
your
intention
is
good
and
then
sometimes
you
do
need.
You
know
honest
feedback
and
yeah,
and
that's
that's
what
makes
that's
all
the
nature
of
Open
Source
right.
It's
a
very
Democratic
kind
of
culture
yep.
We
really
appreciate
honest
feedback.
A
C
Yeah
and
I'm
very
excited
about
the
oae
events,
because
we
have
a
silver
sponsorship
there
we
have.
Oh,
my
God
three
talks
accepted
two
in
the
pipeline:
okay,.
B
C
Have
a
huge
visibility
presence
there,
and
then
we
have
this
half
day,
co-located
event
we're
gonna
have
to
promote
really
heavily
and
hopefully
yeah.
If
you
have
anybody
you
want
to
invite,
let
me
know
give
me
the
list
and
we
are
targeting
50
people,
and
then
you
know
it's
going
to
be
a
highly
vipl
prepared.
You
know
make
sure
we
have
food
and
all
of
that
it,
and
then
it
is
Linux
Foundation
kind
of
sponsor
event.
C
So
it's
very
legit
and
let's
make
sure
that
that
event,
you
know
we
can
get
a
really
good
returns
of
that
event.
A
Yeah
I
can
ask
I,
mean
I,
know
Seattle
CIO
community
and
then
I
have
Thai
Community,
which
is
all
the
entrepreneur
and
CIO
level
people
in
Seattle.
So
I
can
send
a
note
on
that
one.
Maybe
I
can
send
like
on
the
WhatsApp
group,
there's
like
about
100
people
on
that
one.
A
C
Yeah,
let's
work
on
that
together:
I
think
that
would
be
awesome
and
then
you
know
prashan
you
and
I.
We
can.
You
know
co-present
this
to
use
cases.
Sure.
A
A
All
right,
let
me
work
toward
it.
I
think
we
have
a
lot
more
work
to
do
and
such
as
small
time
left
so
I'm
already
like
impatient
to
see
that
this
working,
yeah
I
think
I,
like
your
demo,
I
mean
I'm
liking
the
way
step
by
step,
everything
that
you
kiss
you're
showcasing.
In
fact,
you
have
done
half
of
the
work
for
me
already
I'm
glad
to
have
yeah
so
I
mean
I
hope
that
this
actually
works.
A
A
B
A
B
A
All
right,
I'll
ping
you
later
on,
because
we
need
to
set
this
environment
up
and
we
need
to
get
this
running
for
the
upcoming
settings
yeah
and
if
we
are
able
to
Showcase
this
week,
I
can
take
you
jointly
to
our
customer
also
and
see
if
we
can
both
can
sort
of
like
ask
Dr
Sean
to
support
us
into
that
customer
story.
If
he's
willing
to
go
from
that
angle,.
A
C
C
C
A
Right
I
mean
that's
what
our
goal
is
to,
because
Middle
East
is
looking
a
lot
more
than
any
settled.
Cloud
they're,
looking
more
like
a
data
center
or
Regional
Cloud
Solutions
and
because
of
their
I
mean
UAE.
Just
imagine
that
whole
UAE
has
eight
countries,
and
each
country
have
their
own
set
of
people
like
Sharjah
is
separate
country,
Dubai
is
separate
country
and
then
azman
is
separate,
and
then
they
have
like
Abu
Dhabi
separate.
A
C
Hey
for
you
guys
the
the
technical
guys,
if
you
guys
want
to
go
in
Middle,
East
I
mean
Dubai,
it's
really
fun,
I've
been
there
a
few
times.
So,
if
we
can
make
it
happen,
maybe
you
guys
will
get
a
chance
to
go
to
Dubai
or
you
know.
Okay,
I
think
we're
at
a
time
now.
So
unless
there's
any
more
question,
then
I
think
we're
done
with
this
meeting.
Manny.
Do
you
have
anything
to
add?