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2 days back when I was working on my
computer
a doorbell rang and when I went
downstairs what I find
is a huge shipment lying in front of my
home.
it was sent by NVIDIA and today I'm
going to show you
what is inside that package.
this box contains NVIDIA's DGX station
800 basically it's a AI super computer
which contains
four NVIDIA's top of the line GPUs
and amd CPU with 64 cores.
It is not only heavy in terms of weight
but when it comes to
compute power this is enormous.
So I'm going to open the box we'll go
over some technical specification and
also we'll talk about
how it can be used by a team of data
scientists and machine learning
engineers
to speed up their machine learning jobs.
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Here is how it looks look at this golden
color. It is
very heavy and it has wheels at the
bottom. So I'm going to
gradually slide it over there you go
look at the super elegant metallic gold
design here.
This allows you the air circulation
because the machine is
very powerful and it can get
hot pretty soon and the best thing about
this machine is you just press this
button
and you can easily open the side
covering so there are two buttons here
1 and 2.
1 is for CPU side the other one is for
GPU side so I'm going to open it and
show it to you
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this is the CPU side of this machine it
has 64
core CPU. Pretty powerful.
and 512 gigabyte of system
memory now i'll be opening the GPU side
of it and it's
so easy just press the button and the
side covering will come out
so I'm not going to open this cover but
basically there are
four GPUs on this side these are
top of the line NVIDIA GPUs it also has
non-flammable non-toxic sealed cooling
system
and it can really calm down the heat
generated by this.
Huge computer the machine comes
pre-installed with all the necessary OS
and software so that you can get instant
productivity.
It has an host OS along with all NVIDIA
drivers the container runtime
and you can install all the
deep learning related containers from
NGC pretty easily. So this is the
software stack that comes and if you're
a data scientist or a machine learning
engineer you can get started
with this machine really easily so it
has
all the necessary setup installed. You
can see rapids here rapids is my
favorite
it's a data frame based on GPU
on steroids in terms of cables is pretty
straightforward.
I got this power cable which I have
plugged in my regular
electrical port and I'm ready to start
the machine now
super excited to start this so let me
press the button now the machine is on
right now you can see how quiet the
operation is
so I have connected this monitor with
the computer
and I'm just going through the basic
setup.
It is an ubuntu based operating system
so I will just complete the setup now
DGX station is
already set up and it's ready to run my
deep learning jobs.
I'm going to be working with some data
scientists and machine learning
and genius to work collaboratively on
this machine so we'll
showcase in the future video uh how
fast this computer is we'll be running
our deep learning jobs we'll be showing
some collaborative tasks
that are typical team of data scientists
and machine learning engineers
would be using this machine for and just
a disclaimer by the way I'm going to
keep this machine
for few months and send it back to
NVIDIA
this is an expensive machine by the way
if you're curious about the price it is
150 000 so it's a super expensive
machine
I'll be using it for some time then
send it back to NVIDIA so in the future
video watch out for
DGX station performance benchmarking
video
and we'll be running some cool jobs so
you will understand
how investing in this machine if you are
a corporate
and if your team of data scientists you
can almost have
a data center in-house so instead of
renting these
you know GPUs and CPUs on cloud
this can be an alternative where you
have this mini super computer
almost like a small data center in-house
and you can
run it to speed up your AI
and machine learning training jobs.