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πŸŽ™οΈ Your data lives somewhere physical. And that somewhere is quietly burning through energy, water, and resources at a scale most people have never considered.

In this episode of Tangelic Talks, hosts Victoria Cornelio and Andres Tamez sit down with Murphy John β€” founder of StorX Network β€” to explore one of the most overlooked climate and privacy challenges of the digital age: centralized data infrastructure.

Every file you store. Every AI query you run. Every backup you upload. It all ends up in a physical data center β€” most of which are running at half capacity, consuming full power, and storing your data in a way that makes it vulnerable to anyone with access to one server.

StorX Network was built to change that. By encrypting, fragmenting, and distributing data across existing underutilized data centers worldwide, StorX offers a privacy-first, climate-conscious alternative to the three hyperscalers that currently control most of the world's data.

In This Episode, We Explore:
πŸ’Ύ How the last five years produced more data than the previous 30 β€” and the infrastructure crisis that creates
🏭 Why centralized data centers are chronically underutilized β€” running at full power even when half empty
πŸ” How StorX encrypts, fragments, and distributes files so no single breach exposes your data
πŸ”‹ The energy difference between storage and compute data centers β€” and why compute is far more intensive
πŸ“Š The three promises hyperscalers made 20 years ago β€” and which two they've already broken
πŸ”’ Why ransomware is quietly shutting down small businesses β€” and why most don't know the risk until it's too late
🧱 How blockchain ensures data integrity without any of the scam-era associations
🌐 Why the internet was never really community-owned β€” and what global net neutrality would actually require

πŸ”Ή About Our Guest: Murphy John is the founder of StorX Network, a privacy-first, open-source decentralized cloud storage platform. StorX uses encryption, fragmentation, and geographic distribution to protect data β€” and does so by utilizing underused existing data center infrastructure rather than building new ones.

πŸ’¬ Join the Conversation: Do you know where your data actually lives? And do you think the cloud providers are being honest about how they use it?
Drop your thoughts below πŸ‘‡

🌱 Support the Mission: Help us amplify stories of clean energy, equity, and climate justice.
πŸ‘‰ TangelicLife.org

πŸ”– #DecentralizedStorage #DataPrivacy #DigitalClimate #CloudStorage #StorXNetwork #DataSovereignty #PrivacyFirst #BlockchainStorage #ClimateAndTech #DataCenters #DigitalInfrastructure #Ransomware #GreenTech #NetNeutrality #AIandData #TangelicTalks

🌐 Tags: decentralized cloud storage, data privacy, StorX Network, Murphy John, data center environmental impact, cloud storage energy use, blockchain data storage, ransomware, digital carbon footprint, privacy first cloud, decentralized internet, data sovereignty, green data storage, Tangelic Talks
Transcript
00:00for example YouTube would do it was it would have not only your data in one
00:03location but it would have the entirety of your data in multiple locations
00:06around the world have it cached right and so they use way more data than they
00:11should for per video but they do it because it's a service that really needs
00:15like streaming access immediately so that's the whole idea why we're
00:19encrypting the file with your own private key in your device so that means
00:25the when the file is transferred to us it's already encrypted with your private
00:28key and you need your private key to open that file so for storage all of them
00:34majority of them follow the S3 standard which is the Amazon S3 standard that's
00:38what it is our system is compliant to S3 standard so you just need to change those
00:44pointers and you can really migrate your data easily
00:58Tangelic Talks your go-to podcast from Tangelic where we dive into the vibrant
01:03world of clean energy development sustainability and climate change in
01:07Africa we bring you inspiring stories insightful discussions and
01:11groundbreaking innovations from the continent making waves in the global
01:15community tune in and join the conversation toward a brighter greener
01:19future let's get started
01:23welcome to Tangelic Talks a podcast at the intersection of energy equity and
01:28empowerment with your co-hosts Victoria Cornelio and Andres Temes in today's
01:32episode we are diving into one of the most invisible but rapidly growing climate
01:37challenges of the digital age data every search every AI model every cloud upload
01:43lives somewhere physically and increasingly those massive centralized data
01:46sensors are consuming enormous amounts of energy and resources so our guest today
01:51Murphy John from StoreX Network a platform exploring how decentralized
01:56storage could reshape the future of digital infrastructure is going to help us
02:01understand a bit more about digital autonomy resilience and the
02:04environmental cost of the internet itself welcome Murphy hey thanks for having me
02:09really excited to be part of the podcast no this is great honestly we keep
02:14talking about this this season and I think we really needed to nail down this
02:18conversation because the internet feels invisible many times you know every drive
02:24feels like it's in the ether and we don't really take into account how that's
02:29happening where is it you know so most people don't think about the
02:37environmental footprint of data can you give us a bit of an idea of how big of an
02:41issue these centralized data sensors are yes actually I'll start with background so
02:46first let me talk about the data that we are generating and then we get on to the
02:49storage of it so if you see the kind of amount of data that we've been generating
02:54over the period of the years like it has been enormous so just some statistics the
03:00amount of data that we generated over the past five years is far more than the
03:04data that we have generated in the past 20 or 30 years put together that means we are
03:09generating a huge amount of humongous amount of data and this data needs to be
03:13sourced somewhere or the other now what what's what's really driving this data
03:17because there are a lot of IOT devices smart devices all over the world
03:21driving smart cars coming in and a lot of autonomous software and of course AI is one
03:26of the very big chain that plays a very key role in this so what happens is as
03:31soon as you start generating so much amount of data you need a store in your
03:35location to store it and you need to store it very securely and the reason why I'm
03:41talking about data is we we really have this feeling that we are living in the
03:45data economy right now so data has become really very crucial for every
03:49organization and so much of data being generated so much of the output is
03:54generated I think it's a very critical and a very crucial factor in the life so
03:58what happens is this data actually everybody has if you talk to a non tech
04:03person he'll see the data is on the cloud he doesn't know where it is so this time
04:07yeah it's in the ether yes yes so it's it ends up on one of the physical machines
04:13which is located somewhere at some location and that's that's what is the
04:18driving challenge that we have today because this all data is actually
04:21residing in some data centers and this end these data centers are one of the
04:26highest consumers of electricity and all the other resources put together and if you
04:31see just the data center the data center is almost like conceiving not only
04:35conceiving huge amount of electricity water and all those resources around but
04:41they they also need they are also underperforming so that means if you do if
04:46you do an access or we do an audit of all the data centers they are all being
04:51underutilized so if there is a huge data center that has been set up it's
04:55actually underutilized so that's where the huge issue comes up because they
05:00cannot scale up to the full level and there's a huge amount of electricity and
05:04all this resources that's being wasted so most of them but you see there is there
05:09is a demand which is growing and there's the this data centers which are lying ideal
05:14so when we talk about data centers we always talk about this hyper scalers like
05:19Amazon, Google, Microsoft all of these guys are spread but there are multiple data
05:24centers multiple service providers spread worldwide so what happens is we are in
05:29the mission so we we found that this data is something that is very critical and
05:34this data center is consuming so much of electricity wasting so much of
05:37electricity because of the under utilization so we kind of tend to bring
05:41these things together so what we do is we utilize storage which is located in
05:46this and such underutilized IDCs and then we store the data so we are not
05:51setting any green field data centers we are not setting up any additional data
05:55centers any resources what we do is we have a community member so we have a
06:00community of storage node operators who are spread worldwide so we have like in
06:03multiple geography in multiple locations they go and source this data centers which
06:08are underutilized and they bring in the resources to us where we store this data so
06:12instead of storing your data in a single location we spread your data and spread it
06:17across to them and because we're doing in this kind of what helps actually the
06:21the other additional advantage of using us as it is because we're not storing
06:26everything together in a single location which was traditionally how the data is
06:30been stored over so many years if you go to any hyperfilis they just take your
06:34file and store it in one single location but what we do is we break your file
06:38first we encrypt your file we break it into multiple pieces and then we just
06:41store this encrypted fragments across multiple locations so what happens is I'm
06:46spreading out my data I am like decreasing the risk which is associated
06:50with single file of storage and then as well as utilizing storage which is
06:55located on or the data center which is underutilized so that's that's how the
06:58economy goes yeah that's really really cool so you're maximizing the usage of
07:03data centers that already exist so that so that we're not wasting resources what how
07:10when you when you say that of is the are the files themselves being split and
07:16encrypted so that you basically don't have that's super cool so it's very it's gonna be
07:23very hard for someone to get access to that data and to use it maliciously and if they get
07:31access to one data center then they don't have access to the data anyway right they have to get
07:36access to the whole thing and then decrypt it that's super interesting now can you can you tell
07:42us a little bit about a little bit more about before I can start asking questions about your
07:46product like is this an enterprise product is this consumer product like what type of data do you guys
07:52store mostly so we have board we have offerings which is there for B2C customers so the end users
07:58can just come on log into the website register we have a 2gp free for life plan so they can
08:04just register
08:04sign up and use started use they don't have a part of credit cards or anything like that so you
08:09can
08:09just sign up and start using it so that's the B2C configuration and we have a B2B setup where we
08:14work with enterprises around the world so who is looking at storage use cases they have multiple
08:20use cases requirement we work with them we design systems around them and then we give this system
08:26design for them so we work operated in both scales B2BS and this B2C so one of one of the
08:31issues that I
08:32can see with that is latency right to access your data if it's being split up among multiple locations
08:40in fact one of the ways that like like you say the hyperscalers deal with this now you guys don't
08:48have
08:48to do this but the way for example YouTube would do it was it would have not only your data
08:53in one
08:53location but it would have the entirety of your data in multiple locations around the world have
08:57it cached right and so they use way more data than they should for per video but they do it
09:03because
09:04it's a service that really needs like streaming access immediately so do you guys is it like it's
09:11okay to sacrifice just a little latency because it's not a streaming platform right you just need
09:15access to your data or do you guys have ways to mitigate that yeah so so so the other guys
09:23the
09:23hyperscale is what they do is YouTube is a good examples they have pop locations which are at
09:28multiple location multiple geography and then they have hearings with the ISP that ensures that this
09:33kind of leaders is not there because specifically they're working with videos and streaming is like
09:38the main so people don't want to wait when they're looking for some streams for us it's like business
09:43data so what the the advantage that you're working on or the best advantage that we have is because
09:50we're spread out across multiple geographies we can offer them very high level of reliability and
09:55resiliency for the data so it's not like just one location one thing and and the algorithm is
10:02designed in such a way that it will always look at the nodes which are really available so what one
10:07thing
10:08that we do is I will just come back to the way how we do the entire engineering around the
10:13product
10:13so whenever you're using storex to secure your data so what we do is in the user's laptop or device
10:20itself we will encrypt the data with their own private key so that means it's encrypted it uses
10:25device only and then the encrypted file goes to the server where it's broken down into multiple
10:30fragments then we replicate those fragments and then we distribute it so actually what we do is
10:35your file when we are dividing it into fragments we create multiple copies and these multiple copies
10:41are located different geographies so suppose there is an A file you have like one two three four five
10:47one file would again be divided like replicated three times or four times depending upon what is the
10:53nature of the file and this will be residing in three different geographic locations so whenever
10:58you're requesting a file the system will know whether file is and then it will know which is the nearest
11:05location from where you can get this file so I won't go to the remote this location to get this
11:09file I
11:10my system will know that this is located suppose you are in Berlin and you have a look you have
11:15a
11:15location in Frankfurt that means that the file you can fetch the file very fast go to the Frankfurt
11:20location get this French those so that's how it operates in the engineering okay so you guys do do
11:26have it set up so that there are multiple copies of it but you guys mitigate the environmental impact by
11:32like you say using data centers that already exist that are under that are underutilized right yes
11:39yes okay is there is you know there's a difference between data centers right like there's storage data
11:46centers and then there are compute data centers yes um how what is the environment the difference in the
11:52environmental impact right between something like a storage data center and the compute one uh like in how
11:59much cooling they need how much power they consume because I think that's important to know right like
12:04not all data centers are the same yeah so uh so because uh the compute is more intensive it requires
12:11more
12:12energy and more efficiency to operate of course because of the new uh the new kind of uh development that
12:18is coming in because of and all those kind of development you see this consumption coming up but if you
12:24compare
12:24storage with computing I think the the computer part would be much more energy intensive and it will
12:30be utilizing more resources compared to the storage because storage is just dumb storage you don't do
12:34processing around it so and in computers you're actually processing a lot of data yeah that that makes
12:39sense right they still they still need to there's still a lot of heat that needs to be managed and
12:43stuff like that right so you need a lot of cooling and and such so that would be a lot
12:48of the cooling capacity
12:49I think is the big one for for data storage yes so that that that was that's really a big
12:55amount of
12:56HAVC that's required cooling where do you like see the industry going do you see it going in the
13:03direction that you know data data is really interesting because there are multiple facets of
13:10the morality to it right you have the server itself which generates heat it consumes a lot of energy
13:15and then you have the aspect of the data itself for example you guys I imagine you said you said
13:21you
13:21deal a lot with enterprise b2b clients and stuff like that right and also consumers um but is your
13:28model sort of a privacy first instead of uh we have cheap prices but we're going to use your data
13:35for
13:35however we want right now in this data economy where everybody wants people to stop abusing their data
13:41and then using it for for everything like is it is it one of those cases where like one of
13:47the edges
13:48that you guys have not only is the environmental thing but like the idea that you have access to your
13:54data we we only store it we don't look at it we don't sell it we don't do that how
14:00does that work so so
14:01privacy first is the most important characteristic of our project so what we do is whenever we are so so
14:07that's the whole idea why we are encrypting uh the file with your own private key in your device
14:13so that means the when the file is transferred to us it's already encrypted with your private key and
14:18you need your private key to open that file so that's the idea and and we are like privacy first
14:24security is the second part third is the reliability resiliency that's that's how we have categorized it so
14:30so the outmost benefit that we offer is privacy and security of your data nobody in the entire ecosystem that
14:36storage software can ever snoop into your data or look at your data or see what's exactly residing in
14:42the data because it's always a fragment that is always lying in one single computer nobody else except
14:47the system knows where the multiple files are even if this multiple files are accessed you still need
14:52that private key which is lying on the user's desktop we don't keep any private keys or we don't keep
14:56any
14:57encryption keys with us so it's ultimately the user who controls the data and we don't do any kind of
15:03snooping on any processing by the way we are an open source project so we like the entire source
15:08code of the project is available on github people can just go and see the kind of processing that we
15:13do for data so that's this one so a power user is like i want to verify that they're telling
15:18the truth
15:18about how the project works they can just go to the source data and build yes and it's it's been
15:22audited two times and we have the audit results also placed on the earth so it's like open for everyone
15:28we just go and visit and see what's the results that's fantastic that's awesome because that's
15:33one of the things these are very complicated topics and the lack of transparency just makes them even
15:38harder to engage with doesn't it why should a normal person ordinary person care about who controls the
15:45data infrastructure because you can you've probably heard the jokes of like oh i don't care if x is you
15:52know looking at me i don't have anything i don't have any secrets i don't care i don't care why
15:57should we
15:57care so when when the cloud revolution started 20 years back that's when the hyperscalers started
16:03moving so before hyperscalers it was all like on premises and when the hyperscalers came into the
16:10market the three big hyperscalers they promised three things that would be there entirely that the
16:15cloud would provide so that seems to be the pillar of the promise why people move from on premises to
16:21the
16:21cloud so those things that like they would offer high level of security and privacy there would be
16:28less cost compared to hosting it in your in-premise on premises and the third was was unlimited scalability
16:34so when when they were hosting data in their specific location or on premises you always have a capping like
16:40if you want to get if you want to raise your uh storage capacity and compute capacity you need to
16:45do a lot of
16:46uh capex and then they to bring in servers but when you're keeping it in idc that was like very
16:50easy
16:51you could just by the click of mouse you can just upgrade your signal so the three problems out of
16:55the
16:55three promises now there's only scalability that remains so the other two was compromised over the period
17:03of time you know what happened with camera general because there were so many uh so many abuses around that
17:08so it's already it's it's it's already in public so i don't want to commend on that uh the prices
17:14also
17:14have been steadily rising uh if you see uh the cloud prices what it was promised now you see uh
17:20people
17:21end up uh like if you talk about a typical uh software organization they have like 10 to 20 percent
17:28minimum and sometimes it goes up to 30 to 40 percent of the cost the entire cost is the computing
17:33cost
17:34or the hyper skiller cost that you give so that will become a very huge cost uh that has become
17:39right now and that's that that's really something which is really concerning about your question of
17:44privacy it's it's in fact growing because of all these abuses that has happened and then there are uh
17:50some inevitable threats to the data because you are locating uh you storing your data in a public uh cloud
17:58that means it's not a private location it's like open you have the same kind of infrastructure
18:03you have the same kind of accessibility a hacker can come in and access any one device and he can
18:10get into the entire system easily because those architects everything remains the same across all
18:15the network so what happened was that that's that's a funny question that we get and in fact the one
18:21the
18:21point that you raised like i'm an SME why should i be concerned about storing my data so privately i
18:27i don't
18:27know nobody's going to be behind me but they need to understand like if there is a ransomware
18:33infection that happens if there is a virus attack that happens it generally happens with the loophole
18:38that is there in the system they're not interested in specific things so they lock in everything
18:44in respect to the fact that you have an SME you're a median size or a big multi-billion dollar
18:49organization it doesn't matter they will just come and lock everything so you need to be really very
18:54secure and you need to take that consideration into practice and of course uh because of so many of
19:00laws which are enacted everywhere because of the safety of users you really need to know where
19:04you're kind of storing your data and how secure your data is and i see that uh that uh is
19:10growing
19:11among the people right now it was not such a big uh concept or such a big threat 10 years
19:16back but
19:17now definitely people are looking in like where my state i store how secure is my data how many people
19:23can access my data it's it's really uh a concern right now and in in the era of ai also
19:29how is my
19:29data used right like is it like if if you upload it for example to to to a competitor i'm
19:36not going
19:36to name any specific competitor but they're like okay from now on we're gonna uh for this month we're
19:42not raising prices but like uh all of the stuff on your cloud is going to be used to train
19:47ai it's like
19:48well so they don't and they don't announce it publicly but uh everybody everybody knows that
19:54happens so that that's that's very uh beautiful like we we work with certain organization though
20:00those who are having a lot of proprietary data like years of organizational data and all the data
20:05related to their finance and everything they were very like they were very concerned about uh putting
20:12this uh data in the public cloud and training their elements so they came to us and they said that
20:17we
20:17want a private cloud which is not accessible to any third person and we will you set up the infrastructure
20:22for us and we will run our lms on top of that just to ensure that our lms are accessing
20:29our data and
20:29there's no third party who's accessing data at any point of time so that that's where the privacy the
20:35security of the data is really very concerning for people who are of this age right now yeah that makes
20:40sense not kind of having it out there for easy access i guess from a financial perspective why are
20:47centralized systems still dominating then because this sounds like the obvious next step but i i don't
20:54think there's there's been a move to that as high or as rapid as one would expect from such a
21:02great
21:02proposal so what happened is now as i told the hyperscalers have been in the market for past 20 years
21:09their building systems they of course they have done one of the best things that is i think the growth
21:15of cloud is really uh responsible for the growth of a lot of industry around it like the saas business
21:20only uh evolved because there are so many hyperscalers and they built in a lot of moat around the
21:25products so there's a lot of uh a lot of facilities a lot of good things that was built around
21:30storage and
21:31compute which were able to uh which the uh which the end users were able to utilize and build systems
21:38on top of
21:38that so that that that's how they've been growing and that's how they grow in the future also so
21:43that's because of the enormous benefits that they offer uh this thing and one thing is uh nobody is
21:49thrown out of job and they start hosting in any of the hyperscalers so people are like that mindset is
21:54created over 20 years of time that they're very secure of their any like scalable sort of thing uh that
22:02notion
22:02is would still be there for a long time but they they'll only be i see the decentralized cloud is
22:07going to create its own niche because of the advantage that it offers of course yeah and something
22:13i've heard a lot of times is the migration from one system to another tends to be quite the headache
22:18especially internally in a company so how hard is it to convince businesses to adopt a new
22:25infrastructure model like this one specifically okay so i'll talk about the the storage part of it
22:33the two components as you know this compute and the storage so we work only specifically
22:40so for storage uh all of them majority of them follow the s3 standard which is the amazon
22:46s3 standard that's what it is our system is combined compliant to s3 standard so you just need to
22:52change those pointers and you can really migrate your data easy so that was something that we really
22:57worked from day one we we knew that if we want to have systems built in that is easy you
23:03need to go
23:04for global standards so we have built into the system right from day one because we have adopted those
23:09standards it becomes really easy for anybody to migrate the data and use the systems that's cool
23:15and from a consumer justice perspective so you know the people themselves do you think decentralized
23:21infrastructures kind of help make digital access more equitable globally or is it kind of separate
23:28and a happy coincidence if it does uh it would be both actually uh because as i told you they
23:35took 20
23:36years to come into the stage if it had if we would have been pre-hyperscaler age where everything was
23:43on-premises and people it would have been very difficult for the growth of this whole ecosystem which
23:48is developed around so that is useful and they have done some phenomenal work but as i said there's some
23:55there are many disadvantages because of the scaling as well because of the answer why it's this kind because
24:01it's a centralized infrastructure it's easy for everyone to just attack in everyone can get access
24:06because it's all standardized you just need to access one location and you can get access to a lot
24:10of locations because of the same architecture same design and thing so that's that's how the decentralized
24:16system comes uh as a separate entity where we can have niche around build around that products
24:22where we can scale because the kind of scalability that we offer and the security that we offer it's very
24:27that them to do that at the same way because we use blockchain nodes and all those kind of things
24:33so it's a complex architecture it's it's like a very uh uh it's like a lot of things built into
24:39a
24:39h and a fit onto else so it works in a perfect architecture no that makes sense and i guess
24:45in
24:46the climate space do you think decentralization is genuinely a solution in terms of energy use and
24:52water use and what we were talking about with storage centers being different to computing centers
24:56or is it risking shifting energy use somewhere else no it's definitely so because i i told you
25:03because the data centers is one of the highest consumers of electricity energy all over the world
25:08you can hear if there's a new data center set up in some town county they have come up with
25:13so much
25:13of opposition that they had to shift the plant altogether there were so many instances around that
25:20so definitely it has a lot of the decentralized cloud does have offer a lot of advantage not in
25:27terms of you under utilizing the underutilized idc and saving those kind of resources which is like
25:33goes very high because we are saving so much of this fuels green gas emissions and all because we are
25:40utilizing the underutilized and it becomes benefit for them as well because you have an infrastructure set up and you
25:46have
25:4620 percent of the infrastructure 30 percent of the infrastructure just like ideal and you need run all
25:52those infrastructure because you need to have you the system has to operate at 100 percent so if you
25:57save multiple geographies around the world and you save so much players in this it the the effect is
26:03compounding and it's always uh beneficial and then i would imagine that it would it would help keep
26:09keep let's say closer to not obsolete but closer to obsolete data centers alive and not have uh all of
26:17the because there's a there's more to data centers right there's also like if something becomes a little
26:23bit more obsolete it goes into the lambs landfill if it belongs to something cutting edge right um he tells
26:30a little bit more about the environmental side of this right like the the carbon emissions and stuff like
26:36that and how like is is um all of the efficiency gains basically from finding those uh those
26:44underutilized data centers and working with them or is there more that can be done to mitigate uh to
26:51mitigate power consumption and such i think uh i think uh people uh uh the organization can look at uh
26:59using
26:59decentralized cloud storage in a better way so they can they can shift in some load from the centralized agency
27:05but where it's possible and it helps so we can grow a system and we can get in more idc's
27:11which are
27:12under utilizing energies and all those things so that will definitely help to reduce the garbage footprints
27:17around the world i can save globally like you can save so much amount of energy for being wasted around
27:22this
27:22is there a difference for example i actually i actually don't know like is there a difference depending
27:28on what type of storage is used on the data centers right like uh uh i would imagine like how
27:34how do you
27:35how do these data centers operate in the modern day do they even use spinning disk do they all use
27:39a
27:40solid state like how does it work is it a hybrid so it's a hybrid system right now so they
27:46are
27:47because there's so many of the circulating handles it becomes very difficult for them but they are being
27:52phased out to SSDs and then we have now more efficient NVMe so those are the ones which are coming
27:58up
27:58but even to phase this out it would be it would take a long time because these developments that has
28:03happened like the NVMe the SSD will just recently compared to the spinning disks which were there for
28:09so many long years and now they are no more produced but but the kind of efficiency that is happening
28:14is
28:14really very good so we feel that this this would all be recycled very soon and then we would have
28:19more
28:19efficient less energy consuming kind of thing because what happens is when this disks which are like
28:25cylindrical disks they are rotating they are generating heat and all those things so that becomes a real
28:30concern in terms of environment effect and the carbon emissions and all those things but when we have
28:35the solid disks when we have SSDs when we have NVMe the heat is reduced very late and because there
28:42is no
28:43physical rotation happening those kind of costs can also be saved over the period of time so in order this
28:49becomes much more efficient this becomes smaller in size when when the device becomes smaller inside they need
28:54less cooling they need lesser land land to be cooled so they need less power so all those factors play
29:01a
29:02lot of role in ensuring that the carbon emission goes down and the energy efficiency is increased
29:09why why are data centers underutilized is it like a pride thing a lot of the companies want their own
29:15data
29:16centers so they're just going to build more instead of uh finding deals to like utilize uh the underutilized
29:22one over here and over here and over here yes so so what happens is i'm talking about this in
29:28uh the uh
29:29whenever the data center is set up they'll set up for the period of like 10 years because it's a
29:34huge
29:34investment to set up the data center they can't set it up like just so if if there is uh
29:39there is an
29:40energy utilization that they think of like 100 racks they would end up uh setting up the infrastructure
29:46would be like 500 racks that is the standard when they set it up so because they set it up
29:51such a
29:52way it's always and what happens is when you go suppose you have five floors of data centers you have
29:58one operating at full capacity the moment you go to 101 you will have to take one more floor and
30:04then you
30:04will have to write down the entire infrastructure because that would be big cost which is important so
30:09that's something that is that that is still going on but the new technologies which are coming in that will
30:15ensure that they like like built-in rack which is cooling so you don't have to cool the entire flow
30:20you just have to cool the entire rack itself and then there are of course new things coming around
30:24oceans and the space idc which are coming up so all these things will really go a long way to
30:30ensure
30:30that we have those kind of energy efficiency build up in the data centers that's super cool i guess i
30:37want to close out with what are you most excited about in this future of decentralized tech what are you
30:42most
30:42looking forward to i i think i think the benefits that we offer we are able to offer the clients
30:47because of this decentralization is really some very good benefit and because of the carbon emissions
30:53and the global footprints of carbon that we save that we are really very excited and committed in
31:00this mission of decentralized cloud storage amazing well guys you can check out the blog at
31:05tangeliclife.org tangelictalks to learn more about storix network and murphy john as well um is there
31:14any closing words guys anything you want to leave the audience with oh no i think it's a great time
31:19to be
31:19alive and we want to be uh we utilize whatever is what are the new technologies coming up i think
31:25it's
31:26it's great to be the part of it i love it amazing well we'll catch you guys on the next
31:30one thank you
31:38let's talk power let's talk change for rural lights to brighter days equity rising voices strong we're
31:48building tomorrow where we all belong tangelictalks energy equity pride empowering the world side by
31:58side a spark becomes a fire a vision that's true together we rise it starts with you
32:12we rise it starts with you
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