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Local Compute

38 statements · 2025–2025

Phones, MacBooks, and PS5s joining training runs

"AI Sovereignty: Building the Path to Individual AI with Greg Osuri" (The Outpost Podcast)

“Heterogeneous GPUs over the internet means my phone or my MacBook with the M4 can be part of a training [run]. Even if I push it, even my PS5, I sit in idle, which I play once a year… I can even hack that to make it compatible with [DisTrO]. In fact, US Air Force hacked PS2s back in the day to create a supercomputer.” — Greg Osuri, 00:33:29

Context: On Nous Research’s announced heterogeneous 15B training run; he adds “imagine how many PS5s are out there that are not being used” and “we got about five years, the space, to really knock it before they build the next nuclear data centers” ([00:34:11]).


Underutilized home computers should earn revenue

"AI Sovereignty: Building the Path to Individual AI with Greg Osuri" (The Outpost Podcast)

“There’s a relation on more distributed AI where your home computer is going to be powerful enough. They’re not going to be utilized all the time… And what happens when you have under utilization, they should be able to earn revenue, right?” — Greg Osuri, 00:50:34

Context: Immediately after the host’s “You’re building Jarvis” — home hardware as income-generating asset; he adds at [00:51:57]: “I don’t think… whatever I’m speaking now will be, like, norm in, like, a few years” (i.e., it will be the norm within a few years).


Building a 32-H100 data center in his own house

DeepSeek and the Dominance of Open Source AI | Akash & Prime Intellect: Mined with CoinFund Ep. 19 (CoinFund)

“My new house I’m building [has] 60 kilowatt solar panel capacity, and 100 kilowatt battery… I’m building a little data center in the house that can house 32 H100s easily, and with a good enough internet — Starlink can provide pretty decent speeds — I can host a whole lot of inference, and I’m most certainly going to host my local AI.” — Greg Osuri, 00:20:38

Context: Concrete personal example of grid-distributed inference; he wants agents recording everything in the house but refuses to let that data leave his home network. (Quote begins at the end of the [00:19:56] block.)


AI entering the home will cause an explosion of small data centers

Why the Future of AI Depends on Decentralized Cloud Platforms (Eye on AI)

“When AI becomes very important, if AI has to really enter the home — which I think it will — I think that’s when we’re going to see an explosion of these data centers… I think there’s going to be a resurgence of the data centers, for privacy, for ownership, for cost reasons.” — Greg Osuri, 00:25:27

Context: He notes ~7.2M small data centers today, down from a 2017 peak of 8.6M killed off by cloud, and predicts the trend reverses; the goal is “decentralized AI… by decentralizing the energy production and energy consumption as well” (continues into the [00:26:09] block).


$2M home supercluster pays back in four years via Akash

Interview With Greg Osuri, Founder Of Akash Network (Secret Network)

“How do you make money? I give them Akash. Akash has 80% utilization rate right now — we can guarantee 80%… you can make your money back in four years, a $2 million investment back in four years, selling [compute] back to Akash… and you get to keep one of the servers for free. And we have financing available… 10,000 of these data centers can be the next Colossus.” — Greg Osuri, 00:23:54

Context: The “Akash Supercluster” spec published on the website; the closing “10,000 data centers” line (captioned “build the next solar model”) is his scale vision. Payback framing: home GPUs earning income.


A 4,000 sq ft roof can power a home AI data center

Interview With Greg Osuri, Founder Of Akash Network (Secret Network)

“To power something like a 35 kilowatt data center we need about 4,000 square foot of roof space… a ranch house in Texas has 4,000 square foot roof space that can produce up to 80 kilowatts… say 100 kilowatts, that throughout the day gives you about 600 kilowatt[-hours] of energy… a battery pack to support 100 kilowatts for 12 hours… is going to cost $150,000.” — Greg Osuri, 00:23:11

Context: The solar/battery math behind converting large homes into revenue-generating AI data centers, topped up ~200kWh from the grid.


Sub-50kW "home edge" data centers running frontier models

Interview With Greg Osuri, Founder Of Akash Network (Secret Network)

“If we can spread training, that means we can have a lot of sub-50 kilowatt data centers — I call them home edge servers… HGX H200 clusters, very very fast. Each cluster can host a whole DeepSeek [R1], which is a big model by the way… the unit costs about $2 million. It’s not a home PC quite, but it has enough power to be able to be part of a larger training run.” — Greg Osuri, 00:21:40

Context: The hardware spec for the Akash “Supercluster”; distributed solar-powered homes replacing hyperscale data centers.


Supercluster timeline: experimental by end of 2025, scale in year three

Interview With Greg Osuri, Founder Of Akash Network (Secret Network)

“We’ll have an experimental supercluster maybe by end of the year… we have kind of one in a data center; now I’m putting [one] in a home… in a year we’ll be out with the supercluster, and we’ll probably deploy a bunch as experiments in the next year. I think year three will be at scale, at a global scale level.” — Greg Osuri, 00:32:59

Context: Direct answer to “when will this happen?”; he expects the energy problem to become “extremely pervasive” within a year or two, and says the hard part is a consumer-grade residential enclosure.


10,000 sub-50kW residential edge clusters can train the best model

Greg Osuri, CEO of Akash Network, on why compute should be shared with a decentralized marketplace! (LegendsNLeaders)

“Instead of a few large hyperscale data centers, you want to be able to have small edge-optimized clusters that could be available in a residential or office setting that draws less than 50 kW capacity. That’s something that can be easily facilitated in a residential environment through solar… 10,000 of these clusters can actually build the biggest and the best state-of-the-art model.” — Greg Osuri, 00:16:16

Context: His concrete alternative to hyperscale: ~$2M Nvidia clusters distributed across homes/offices, coordinated by crypto incentives (“Akash is a decentralized trust control plane”) [00:18:28]; “a residence is a phenomenal place for an edge data center with enough incentives” [00:19:12].


The future is edge data centers, not hyperscale

Greg Osuri, CEO of Akash Network, on why compute should be shared with a decentralized marketplace! (LegendsNLeaders)

“I don’t envision Akash going into hyperscale business… We see a future in edge data centers — 100 kW data centers to 1 MW data centers… that’s the sweet spot for decentralized technologies… there are models now that we put together where you can buy one of these edge data centers, place them on Akash, and get your ROI within like 3 years or 4 years.” — Greg Osuri, 00:25:36

Context: Answering where Akash fits vs. traditional data centers; ROI detail is in the [00:26:17] block, at ~80% utilization with “one of the boxes free.”


Decentralize the compute grid for national security: 1,000 small data centers, "Akash at home"

Ep. 654 The Intersection of AI and Cryptocurrency with Akash Network (CRYPTO 101)

“Our electric grid is so weak. Our utilities are so weak. And… the way we solve that is, [where] we have heavily centered around these, like, small areas, to decentralize them in a way that it cannot be attacked, right? Like, instead of having one large gigawatt data center, how about 1,000 megawatt data centers?” — Greg Osuri, 01:00:08

Context: His “what keeps me up at night” answer: ~30 known hyperscale data centers as drone-swarm/hacking targets in a China conflict scenario. He follows with the goal of “10,000 of these small modular data centers connected to Akash… truly decentralized infrastructure that is attack-proof” (01:01:43) and points to the published “Akash at home” data-center spec (00:49:25).


Anyone with solar and roof space becomes a data center

Scaling Web3 and AI through DePIN with Greg Osuri! (Secret Network)

“One of the things that we’re doing right now is enabling these small module data centers… as long as you have real estate space that can install solar, I think you become a data center. The only way we’re going to be able to solve this problem is to harvest energy across the globe… if you have about 4,000 square feet of roof space, which most of Texas ranch homes do…” — Greg Osuri, 00:23:15

Context: He says a published Akash spec shows such a home can run a 35–50 kW data center with ~24 hours of battery storage (detailed in the following block at 00:24:00).


Sovereign local AI whose GPUs pay for themselves on Akash

Scaling Web3 and AI through DePIN with Greg Osuri! (Secret Network)

“The only way to achieve that is to have a GPU cluster running, and to run a DeepSeek you need a [DGX] cluster, about 8 GPUs. That way you have sovereign local AI… putting those boxes on Akash can earn income for you, because you’re hosting, you’re offering those boxes, and you can actually cover the cost in three years.” — Greg Osuri, 00:28:19

Context: The home-AI privacy argument turned into an economic model: excess home GPU capacity leased on Akash covers hardware cost in “three to four years — we did the math and shared it online.”


The "Akash home model": 40 H200s, 8 local, 32 leased, funded by DeFi

Scaling Web3 and AI through DePIN with Greg Osuri! (Secret Network)

“The Akash home model is, you know, have about 40 GPUs, right, 40 H200s, which cost you about $2 million. Use eight H200s for your local AI… then rest 32, [lease] them out on Akash. You will recoup the investment in about two years. In fact, we can use DeFi rails to even fund the whole thing, so you don’t need to put up front.” — Greg Osuri, 00:29:46

Context: Quantified blueprint for home compute earning income; he adds that verification (TEEs/ZK) is only needed for the leased portion serving third-party training runs.


Star Cluster roadmap: colos 2025, telco edge 2026, homes and schools 2027

Akash Accelerate 2025: Official Livestream (Akash Network)

“Phase one launches in 2025: data center grade star nodes… Phase 2 starts in 2026, telco edge… close to users, close to data, radically reducing latency and transport costs. Phase three, beginning in 2027: homes, schools, and local community sites. The long tail of underutilized infrastructure becomes active. A solar powered server in a rural school can train part of a global model. That’s the dream.” — Greg Osuri, 04:32:48

Context: The Akash Star Cluster product roadmap, with VMs launching August and confidential computing September 2025; a dated, checkable phased forecast.


Tap homes, universities, and telco closets instead of new data centers

Akash Accelerate 2025: Official Livestream (Akash Network)

“Third, decentralized compute. This is the fastest lever of all. What if we didn’t have to wait for a new data center to be built? What if we tap into existing underutilized infrastructure in homes, universities, telco closets, and regional colos? This is where Akash thrives.” — Greg Osuri, 04:29:47

Context: Third of his three levers for scaling AI; the priority local/edge compute thesis stated as strategy.


Star Cluster phase three: homes, schools, and communities

Beyond GPUs: How Decentralization Can Solve AI's Biggest Scaling Bottleneck | Day 2 | Crypto x AI (Blockworks)

“Phase one is data center grade nodes coming online in 2025… Phase two is telco edge… closer to where data is generated. Phase three is homes, schools, and communities — the long tail, the untapped potential. Each phase expands scale, reach, and ownership… Akash isn’t [just] about decentralizing compute. It’s about decentralizing who gets to participate in AI’s upside.” — Greg Osuri, 00:08:56

Context: The Star Cluster roadmap; ~8,300 distributed GB200 NVL72 racks (~120 kW each) equal one gigawatt of compute without a single building.


Tap underused servers, telco closets, and home rigs instead of $500M campuses

Beyond GPUs: How Decentralization Can Solve AI's Biggest Scaling Bottleneck | Day 2 | Crypto x AI (Blockworks)

“Three, decentralized compute. This is the lever no one saw coming. What if we didn’t have to wait for a $500 million hyperscale campus to come online? What if we could tap into underused servers, edge locations, telco closets, and even home rigs? With decentralized compute, we don’t need to centralize power. We distribute it.” — Greg Osuri, 00:06:03

Context: Third of three levers to scale AI; home rigs explicitly included in the compute supply.


10,000 small sites instead of 10 mega data centers — down to your basement rig

Superintelligence Needs The Supercloud Why the AI Revolution... | PMLS 2025 | Day 3 | Open Source AI (Blockworks)

“Decentralized compute — this is a game changer. Instead of building 10 massive data centers, what if we could tap into 10,000 smaller ones? Colos, edge nodes, university clusters, even your basement rig. And that’s what Akash does: ties them all together, monetizes their capacity, and routes workloads wherever they can run efficiently.” — Greg Osuri, 00:05:18

Context: Third of his three levers to break the energy bottleneck, after radical efficiency and clean supply; “we’re not waiting for a new hyperscale zone to get approved — we’re using what we already have.”


Phase 3: homes, schools, communities — every GPU earns in the new compute economy

Superintelligence Needs The Supercloud Why the AI Revolution... | PMLS 2025 | Day 3 | Open Source AI (Blockworks)

“Finally, the long tail: personal rigs, campus clusters, solar powered school servers. Every extra GPU becomes a part of a global AI mesh. Every participant earns by contributing compute. This isn’t charity — this is the new compute economy.” — Greg Osuri, 00:10:31

Context: The Akash Star Cluster roadmap: Phase 1 data-center star nodes, Phase 2 telco edge nodes, Phase 3 homes/schools; “not just scale, but sovereignty… a planetary supercloud, node by node, powered by the people.”


Phases 2-3: telco edge in 2026, homes and schools in 2027

Akash Accelerate 2025 - Starcluster (Akash Network)

“Phase two starts in 2026: telco edge. Here we deploy into network dense environments — fiber huts, cell towers, base stations. Close to users, close to data, radically reducing latency and transport costs. Phase three, beginning in 2027: homes, schools, and local community sites. The long tail of underutilized infrastructure becomes active.” — Greg Osuri, 00:00:44

Context: The dated roadmap for compute moving progressively local — from colo data centers to the network edge to consumer/community premises.


Star Cluster roadmap: colos in 2025, telco edge in 2026, homes and schools in 2027

Akash Accelerate 2025 - Greg Osuri Keynote (Akash Network)

“Phase 2 starts in 2026, telco edge… fiber huts, cell towers, base stations, close to users, close to data… Phase three, beginning in 2027: homes, schools, and local community sites. The long tail of underutilized infrastructure becomes active. A solar-powered server in [a] rural school can train part of a global model. That’s the dream.” — Greg Osuri, 00:09:28

Context: Dated product roadmap for Akash Star Cluster; Phase 1 (2025) is data-center-grade star nodes, with VMs launching August and confidential computing September 2025.


Tap homes, universities, and telco closets instead of building new data centers

Akash Accelerate 2025 - Greg Osuri Keynote (Akash Network)

“Third, decentralized compute. This is the fastest lever of all. What if we didn’t have to wait for a new data center to be built? What if we tap into existing underutilized infrastructure in homes, universities, telco closets, and regional colos? This is where Akash thrives.” — Greg Osuri, 00:05:51

Context: Third of three levers to scale AI (after efficiency and clean supply); the core local/edge-compute thesis.


Homeowners hosting their own compute and power, citing Greg's "Akash at home"

Akash Accelerate 2025 - Jason Badeaux from Daylight on Decentralized Energy (Akash Network)

“Last year, Greg made the post on Akash at home. And I think there’s a really interesting intersection as we continue to grow of: can homeowners, can individuals, can business owners host their own compute, host their own power, share the excess capacity, and build much more resilient and faster scaling networks.” — Jason Badeaux, 00:12:09

Context: Direct reference to Greg’s home-compute vision as the meeting point of distributed energy and distributed compute. Speaker: Jason Badeaux (Daylight), not Greg.


Compute near local energy and idle in homes, campuses, communities

Decentralized Infrastructure Allows America to Compete on AI—Greg Osuri (Crypto World Daily)

“Smaller compute clusters can run near sources of localized renewable energy such as solar, wind, or geothermal energy, or take advantage of underutilized compute power sitting idle in homes, campuses, and communities.” — Greg Osuri, 00:02:55

Context: His energy-adjacent, local-compute vision as the alternative to hyperscale facilities; also cites resilience against cyber attacks and grid failures.


A chip at home consumes the solar energy you can't store or sell

Solving AI's Energy Crisis with Decentralized Compute, w/ Akash CEO Greg Osuri (The People's AI: The Decentralized AI Podcast)

“We do have the greatest fusion reactor sitting in our sky that we don’t capture… You can’t sell it back because no one’s going to buy your energy during the day… And batteries are still, the economics of batteries are still a little shaky… If you put a chip, like, I put a kilowatt chip, which 4090 is a kilowatt.” — Greg Osuri, 00:25:37

Context: Concludes “If I can put a chip at home, that’ll consume all the excess energy” [00:26:23] — GPUs as the economic alternative to home batteries for excess solar.


A GPU data center at home is not a far-out reality; consumer box in ~6 months

Solving AI's Energy Crisis with Decentralized Compute, w/ Akash CEO Greg Osuri (The People's AI: The Decentralized AI Podcast)

“If you can optimize your bandwidth and your energy costs, I think having a GPU data center at home is not a far-out reality. And we have the partners, we have distribution to get there… We think we’ll have it ready by next six months.” — Greg Osuri, 00:35:22

Context: Home config must fit residential limits — “a typical house in the U.S. runs at around 15 amps at 120 volts, which gives you about maximum 1,800 watts” [00:33:43]; still “decently profitable” at that size. Confirms host’s vision of a device where excess solar funnels into AI compute that “will pay for the solar and the battery and everything” [00:32:47].


"By the end of the year, we'll have a very high-quality model that competes with centralized models"

Solving AI's Energy Crisis with Decentralized Compute, w/ Akash CEO Greg Osuri (The People's AI: The Decentralized AI Podcast)

“By the end of the year, we’ll have a very high-quality model that competes with centralized models, right? So it’s not far out. Now, I’m putting my money where my mouth is and say, well, look, we are actually going to do it without any help from the state and the government. We don’t need to because economics, number one, play really well.” — Greg Osuri, 00:27:07

Context: Tied to his StarCluster congressional proposal — decentralization instead of overbuilding data centers.


Cheaper, better, open — sovereignty for the next generation

Solving AI's Energy Crisis with Decentralized Compute, w/ Akash CEO Greg Osuri (The People's AI: The Decentralized AI Podcast)

“It is cheaper, it’s better, it’s open. And if my child is going to grow up in a world relying on this technology, I want to make sure that she has complete sovereignty on what the technology is. And that’s the vision. That’s always been the vision.” — Greg Osuri, 00:39:59

Context: First-principles cost argument: compute is hardware + bandwidth + energy + water — “resources that we all have” locally, peer-to-peer, without a centralized entity.


Sovereign compute: "compute is going to be like spice"

Solving AI's Energy Crisis with Decentralized Compute, w/ Akash CEO Greg Osuri (The People's AI: The Decentralized AI Podcast)

“Our long-term vision has been the same since our white papers we wrote in 2018. It hasn’t changed at all. Our vision is sovereign compute. Compute is going to be like spice… Historically, spice was the most valuable commodity… Instead of giving up your sovereignty for comfort, we can have both.” — Greg Osuri, 00:36:05

Context: The spice analogy: not essential at first, then the most valuable commodity; “we all use compute. We just don’t realize how much compute we use.”


StarCluster: 5,000 edge sites first, then 22 million homes

Solving AI's Energy Crisis with Decentralized Compute, w/ Akash CEO Greg Osuri (The People's AI: The Decentralized AI Podcast)

“Of course, the goal is to go inside a house. That’s the vision of StarCluster. We are working with partners now, and I don’t want to disclose who they are to finalize the terms, but some of our partners are in about 22 million homes in America.” — Greg Osuri, 00:31:42

Context: Phase one uses underrated telco edge data centers — “In the U.S. alone, we have about 5,000 edge sites” with water, energy, cheap bandwidth and green-energy PPAs [00:30:13].


22 million homes — "the way we live may change"

Solving the AI energy crisis | Greg Osuri on what it takes to power AI (Changelog)

“We have access to 22 million homes right now through our partners in the US… Not just sell them, but actually deploy. I think the way we live may change, don’t you think?” — Greg Osuri, 01:01:56

Context: Host jokes xAI’s 50M GPUs would only need 25M homes at two GPUs each; Greg also says a consumer home product is ~a year out, his own home will be the first, and a few homes will run within 6 months via Star Cluster.


Idle consumer GPUs plus unconcentrated energy are the untapped resource

Solving the AI energy crisis | Greg Osuri on what it takes to power AI (Changelog)

“There’s lots of GPUs around… I have a 4090 here, a gaming machine. I have a Sony PlayStation that I barely use… there’s so many GPUs out there that were discarded by OpenAIs because they’re not the latest and the greatest… And the best part is if we can distribute GPUs, now we tap into energy when we’re available. It’s not like we don’t have enough energy. We just don’t have enough concentrated energy.” — Greg Osuri, 00:22:35

Context: Core local-compute argument: distributed GPUs unlock stranded/wasted renewable energy (e.g., California’s curtailed daytime solar).


Star Cluster: distributed training across homes via telecom partners

Solving the AI energy crisis | Greg Osuri on what it takes to power AI (Changelog)

“We announced this program called Star Cluster program at Akash Accelerate… We’re partnering with a few telecoms… we have access to energy across America, we have access to about I think two million homes through our partners that we can go into potentially. We’re currently selecting ideal houses — solar and bandwidth are two big variables.” — Greg Osuri, 00:56:11

Context: Overclock Labs program to prove distributed AI training on home/edge infrastructure; later in the episode he says “22 million homes,” so the figure is inconsistent in the captions.


The home GPU pitch: free bandwidth, free energy, money on top

Solving the AI energy crisis | Greg Osuri on what it takes to power AI (Changelog)

“You get free bandwidth, you get free energy… We’ll put solar in your home. We’ll put a battery in your home. You don’t have to pay a thing. We will charge our battery during the day, we’ll settle back to the grid when we make the most money, we’ll produce enough energy to power the GPU. So you get free energy, you get free bandwidth, maybe some money on top of it.” — Greg Osuri, 01:00:31

Context: Pitching the host as a hypothetical homeowner; two liquid-cooled RTX 5090s per home (~1,800W US residential circuit limit), targeting 30 dB noise or less.


Inference is better at the edge

DePIN: Hype or the Next Trillion-Dollar Market? - TOKEN2049 Singapore 2025 (TOKEN2049)

“Inference wasn’t very centralized. Inference is a lot more flexible when it comes to deployment. I would argue that it’s better when it’s at the edge. So getting access to edge resources with a common set of rules in a protocol is significantly better than having a centralized coordination layer.” — Greg Osuri, 00:16:13

Context: Rebutting the moderator’s premise that compute inherently centralizes; he separates inference (edge-friendly) from training (communication-heavy, fault-intolerant, serialized).


Home solar plus a home data center = zero marginal energy cost

The Truth About Decentralized AI and the Future of Compute (TEACHMEDEFI)

“At home, it’s dual purpose, because I’m using solar to power my home, charge my car — and if I can use the same solar to power a data center, maybe a small home node or home data center, we have a dual purpose or multi-purpose solar, which is phenomenal. And your marginal cost of energy is zero at that point. That’s what I meant by solving this energy crisis by going into the home.” — Greg Osuri, 00:10:52

Context: Solar doesn’t work at utility scale (batteries, transport) but is “great when it’s dual or multi-purpose” — the economic core of his home-compute prediction.


RTX 5090s, not H100s, are the home-compute sweet spot

The Truth About Decentralized AI and the Future of Compute (TEACHMEDEFI)

“5090s, right? So you can have six 5090s, 3,200 watts of capacity. I mean, we did the math — H100s are not economical at home in terms of ROI.” — Greg Osuri, 00:12:20

Context: Asked what hardware people could run at home on solar; he later repeats “5090s will be the most optimal in terms of home networks” ($25-30K per H100, 8-chip minimum, grid limits at home).