WEBVTT

00:00:00.160 --> 00:00:06.640
NVIDIA is trying to strong ARM its way into more devices than ever before and

00:00:04.560 --> 00:00:11.519
yes if you can forgive that terrible terrible pun today's video is going to

00:00:08.720 --> 00:00:15.280
be about NVIDIA's acquisition of ARM now at first the two companies don't seem to

00:00:13.599 --> 00:00:20.240
be likely partners given that they mostly operate in different spaces

00:00:17.600 --> 00:00:24.240
NVIDIA in dedicated graphics and ARM in more general purpose systems on a chip

00:00:22.320 --> 00:00:28.240
for smartphones and mobile devices but like many tech acquisitions this one is

00:00:26.400 --> 00:00:32.320
about NVIDIA getting a foothold in what it thinks will be a lucrative market in

00:00:30.080 --> 00:00:37.760
the future not only are ARM designs at the heart of nearly all smartphones both

00:00:34.480 --> 00:00:40.320
iOS and Android based but they're in iot

00:00:37.760 --> 00:00:44.960
devices embedded systems and even in ai applications which is something right in

00:00:43.120 --> 00:00:49.039
NVIDIA's wheelhouse you see even though NVIDIA is better known for consumer

00:00:46.640 --> 00:00:53.760
graphics gpus are actually powerful chips for machine learning too because

00:00:51.200 --> 00:00:57.120
they're very good at processing parallel workloads that is workloads that can be

00:00:55.680 --> 00:01:01.760
chopped up into pieces with the processor working on multiple pieces

00:00:59.199 --> 00:01:05.680
simultaneously and NVIDIA has already leveraged this fact to make products for

00:01:03.600 --> 00:01:10.400
deep learning in self-driving cars retail and surveillance but ARM gives

00:01:08.159 --> 00:01:14.960
them a huge leg up in ARM and leg a huge leg up in the ai

00:01:12.799 --> 00:01:18.960
market although the phrase machine learning might conjure up images of

00:01:16.880 --> 00:01:23.600
large-scale server farms working on incredibly complicated problems ai on a

00:01:21.680 --> 00:01:28.560
much smaller scale is starting to become more common and more important in recent

00:01:26.640 --> 00:01:32.799
years ARM has released machine learning capable processors for smartphones and

00:01:30.560 --> 00:01:37.040
iot devices with the goal of allowing these gadgets to learn on their own

00:01:34.640 --> 00:01:41.280
without having to rely on the cloud think about photo enhancing algorithms

00:01:38.799 --> 00:01:45.520
for phones or object detection on an autonomous car that will work even if

00:01:43.439 --> 00:01:49.920
you're in an area with little to no network coverage but because NVIDIA has

00:01:47.840 --> 00:01:54.399
been in the GPU business for such a long time the company is in a good position

00:01:52.079 --> 00:01:59.439
to use ARM as a vehicle to get more advanced ai solutions into many more

00:01:56.960 --> 00:02:04.000
devices although NVIDIA has actually tried to get its ARM-based tiger chips

00:02:01.759 --> 00:02:09.200
into phones in the past they didn't have much success partly because of price but

00:02:06.880 --> 00:02:14.480
this time NVIDIA is just buying the whole enchilada on top of that remember

00:02:11.920 --> 00:02:19.200
that ARM's business model is not to make the chips themselves but to license out

00:02:16.959 --> 00:02:23.280
their designs to a huge array of other companies and because ARM has so many

00:02:21.280 --> 00:02:28.080
licensing agreements in place already NVIDIA might be able to quickly start

00:02:25.840 --> 00:02:31.920
competing in lots of different markets and it isn't just about the small

00:02:29.920 --> 00:02:35.280
gadgets either in fact NVIDIA is planning to build an ARM-based

00:02:33.519 --> 00:02:39.280
supercomputer for ai research and machine learning and yes it's similar to

00:02:37.519 --> 00:02:42.640
that thing in sci-fi where a machine figures out how to make more of itself

00:02:41.760 --> 00:02:47.280
but such a momentous merger isn't just gonna

00:02:45.280 --> 00:02:51.440
happen without the world raising some eyebrows although this is

00:02:49.360 --> 00:02:56.160
the case with a lot of large mergers due to concerns about one company dominating

00:02:53.680 --> 00:03:00.640
a certain market there's also another wrinkle in that even though ARM is a

00:02:58.239 --> 00:03:04.400
private firm they've been called the switzerland of the semiconductor

00:03:02.239 --> 00:03:09.200
industry because the company is rather neutral about who they license their

00:03:06.480 --> 00:03:13.519
chip designs to for example both samsung and qualcomm use ARM-based chips even

00:03:11.760 --> 00:03:18.720
though they're directly competing in the smartphone space so the concern is that

00:03:15.920 --> 00:03:23.680
although NVIDIA has promised to keep ARM neutral for the time being NVIDIA may

00:03:21.040 --> 00:03:27.760
not want to license ARM technology to companies it's in more direct

00:03:25.280 --> 00:03:32.319
competition with down the line a possibility that may hurt NVIDIA as

00:03:29.840 --> 00:03:36.959
the deal still has to clear regulatory hurdles in order to be approved but if

00:03:34.720 --> 00:03:40.640
it does get approved who knows maybe one day you'll be able to carry around a

00:03:38.720 --> 00:03:44.319
full-on gaming rig in your pocket assuming it doesn't literally burn a

00:03:42.480 --> 00:03:49.200
hole through your trousers this episode is brought to you by Corsair check out

00:03:46.159 --> 00:03:51.280
the Corsair 4000d airflow computer case

00:03:49.200 --> 00:03:55.040
for outstanding cooling in a stylish package you can route your major cables

00:03:53.360 --> 00:03:58.799
through a single channel with 25 millimeters of space behind the

00:03:56.720 --> 00:04:03.280
motherboard it comes with two Corsair 120 millimeter air guide fans with

00:04:01.040 --> 00:04:09.120
anti-vortex veins to concentrate airflow and enhance cooling and if that's not

00:04:05.760 --> 00:04:11.760
enough you can fit up to six yes six 120

00:04:09.120 --> 00:04:16.959
millimeter fans or four 140 millimeter fans plus multiple radiators including

00:04:14.480 --> 00:04:20.959
360 millimeters in the front and a 280 millimeter on top so check it out today

00:04:19.359 --> 00:04:25.759
at the link below so thanks for watching guys if you like this video give us a thumbs up hit subscribe and be sure to

00:04:23.919 --> 00:04:28.800
check us out in the comments section where you can give us tips and

00:04:27.360 --> 00:04:32.000
suggestions for topics that we should cover in the future