Local Compute

“Most of these nodes can actually run — a NuCypher node, which costs about 280 dollars per year, can run on RockPis for 100 bucks. So you can actually host these nodes locally, so you can get high performance KMS services.” — Greg Osuri, 00:39:56

“The pattern is these guys use it like two hours and 22 hours it’s just sitting unused. So when that’s being unused they can rent out this capacity to the market and earn tokens in exchange, and when they want to use it more than they have, they can use these tokens to get more capacity. I think having a peer-to-peer machine learning cloud is an amazing use case for Akash.” — Greg Osuri, 00:44:13

“With Supermini… there’s a possibility that a low-powered home-based device can actually contribute to a larger cloud and give a very similar experience… we’re seeing this democratization, distribution of these low-powered but very effective computational nodes all over the world.” — Greg Osuri, 00:16:22

“You can buy one of the devices that we will be shipping end of the year, called Supermini, which is essentially a very tiny, portable version of what a data center computer would look like… it’s designed for home users, designed for plug-in-earn… we’re only making like 300 of these, and we have like 15,000 people in the waitlist.” — Greg Osuri, 00:18:42

“Ideally all the data centers, all the GPUs and all the home devices — anything that can spare extra computer cycle should be available to a market they can use, including Teslas. Teslas are essentially like data centers on wheels. They have 200 computers and they’re not being used in the evening and they’re being charged. Imagine unlocking the GPU capacity.” — Greg Osuri, 00:31:49

“It 100% should mine, or offer their compute to a AI supercomputer… imagine connecting all the Teslas and securing a supercomputer to analyze weather patterns or scientific research… and maybe even pay for the Tesla itself — earn enough to actually pay for Tesla. So [it] creates an incredible amount of efficiency, just like the solar grid.” — Greg Osuri, 00:32:33

“If you look at where the world is going, it’s mostly in a… machine learning, A[I] style… that’s where a lot of the data is getting processed and that’s really where we want to see a lot of innovation happening. That’s where the Tesla comes into play, because it’s just message passing from one GPU cluster to another.” — Greg Osuri, 01:00:17

“The Super Mini is… really a GPU cluster that sits in your home and really designed for like tinkerers or researchers, AI researchers… What Super Mini does is it brings the device to the home and essentially utilizing the subsidized bandwidth and the power that you get in the home, because most of the cost in a data center is the power… and kind of like resells that to a user at a significantly lower cost.” — Greg Osuri, 00:26:04

“Anybody can go build a Supermini… it’s just a GPU cluster. If you have a GPU cluster, when we have GPUs enabled on Akash you can plug in, earn money. Right now you can actually plug in any box, ideally sitting in a data center, to earn Akash token.” — Greg Osuri, 00:35:07

“I think our long-term goal will be to get these devices to talk to the cloud and earn income, and thereby increasing the efficiency of cloud computing globally.” — Greg Osuri, 00:11:19

“Tesla cars are essentially giant data centers on wheels — they have about 200 computers with GPU workloads, and that GPU capacity is not used during the evening hours when the car is being charged, and that’s the prime opportunity for the car to start earning tokens by selling that unused capacity to an AI researcher that wants lower cost compute.” — Greg Osuri, 00:09:53

“The big problem there is you’re only using [the GPUs] maybe two to three hours a day; 20 hours you’re sitting there idle. In a case like that they can install Akash and essentially earn tokens for this 20 hours, and when they really want to use them they can use the Akash tokens to effectively get the cost low. So this is a scenario where the tenant becomes a provider and vice versa, really creating a true peer-to-peer cloud for AI, and I think that is fundamentally a game changer.” — Greg Osuri, 00:27:02

“It’s a small supercomputer, it’s a portable supercomputer… it has a GPU system that you can run machine learning applications, AI applications… and the idea is instead of you going to the cloud, bring the cloud to you. So you want the comfort of a cloud in your home, and how can we replicate that experience.” — Greg Osuri, 00:08:30

“The vision is to have a home cloud — cloud in your home — and have the security and the sovereignty of the home. Like, you don’t want your keys to leave your home but yet still be able to run a validator node on a remote server and do the lightweight, which is the signature part… so you can truly create distributed systems and really secure systems with a home computer.” — Greg Osuri, 00:10:39

“The cool thing about Supermini is, well, when you’re not using it you can give this in a market — you can sell the compute in the market and earn tokens.” — Greg Osuri, 00:09:13

“Anybody can go build a Supermini… it’s just a GPU cluster. If you have a GPU cluster, when we have GPUs enabled on Akash you can plug in, earn money. Right now you can actually plug in any box, ideally sitting in a data center, to earn Akash token.” — Greg Osuri, 00:29:54

“There are GPUs in your Macintosh that are not used — there’s lots of GPUs out there. Data centers themselves have enormous GPUs, and more importantly you have Ethereum, which is proof of work transitioning to proof of stake — this entire GPU infrastructure is going to be free. So a lot of GPUs around, but there’s no way for these GPUs to hit the market.” — Greg Osuri, 00:14:08

“The goal of Supermini… is the fact that we are going to enable a cloud in the home… instead of you go into the cloud, bring the cloud to you, so you can host all your data locally in your home. You can use the thing to run VPN servers… so many things that you don’t have to leave the comfort of your home. That’s important for privacy, that’s important for cost.” — Greg Osuri, 00:46:16

“We foresee most of our use cases coming from machine learning… there’s so much ubiquitous compute available, all the way from gaming PCs to Ethereum network coming from proof of work to proof of stake, to even self-driving vehicles — each of these vehicles have about six GPUs, and we’re in early conversations with some of these makers that want to repurpose some of the unused capacity because they’re charging in the night. So we see mining today, but future’s machine learning.” — Greg Osuri, 00:15:59

“If you think of electric vehicles that are essentially data centers on wheels — some of these cars have about six to seven high-end GPUs that could potentially come on Akash. Elon Musk introduced this whole notion of the Tesla bot, and that’s sitting on at least four to five GPUs that’ll be charged in the evening and has really not using those GPUs — those could be on Akash. So I think we have a great future of unused capacity. The cloud capacity is on the edge, whether it’s a robot or a car or a plane — that can all come onto Akash in a permissionless manner.” — Greg Osuri, 00:04:19

“We also have very early conversations with AV makers… an autonomous vehicle maker that is exploring using Akash in their cars, because the cars have like six GPUs — in the night when they’re parking they’re not using them, so it’s a great time to put the supply on Akash… use cases like that, that are so extreme… they’re not possible on web 2.” — Greg Osuri, 00:30:32