Greg Osuri 🇺🇸 retweeted
The ability to run open models locally have given enterprises and individuals a reason to own GPUs capable of near frontier intelligence.
.@gregosuri is on @FINTECHTVglobal to speak on Akash unlocking both commercial and residential compute to meet the rising AI demand.
The chip shortage is structural, not a production issue, and tons of GPUs are sitting idle.
@gregosuri, Founder of @akashnet, tells @RemyBlaireNews the network connects that idle compute to a grid, turning it into a liquid, tradable market.
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Good luck getting permits for 40 GW data centers.
The future is small modular token factories in your office, school, or strip mall.
Local, available and permit-free.
“We’re building over 40 gigawatts of AI compute in 2027.”
Brad Gerstner (@altcap) joined Scott Wapner (@TheJudgeCNBC) on the scale of the U.S. AI infrastructure buildout and why he believes continued investment in compute can extend America’s lead in AI.
“The more compute you have, the more intelligence you have.”
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Managed or self hosted intelligence — Akash supports both
Routing every request to a frontier model is a margin killer. The fix is lower cost inference.
Host your own models on rented GPUs at a predictable rate, or use an endpoint like AkashML at better unit economics to preserve your profits.
Akash does both.
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I’ll be live in 10 minutes to discuss compute capital markets on FinTech TV
Joining @RemyBlaireNews this morning:
- Matt Cheslock (@VirtuFinancial)
- @StevenDickens3 (@HyperFRAME_Res)
- Scott Voss (HarbourVest Partners)
- @gregosuri (@akashnet)
- Pam Cheng (@AstraZeneca)
Live from the Big Board.
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Greg Osuri 🇺🇸 retweeted
I never thought this needed saying
Do not plagiarize other people's Opensource work
Attribution is the bare minimum in Opensource, please respect Opensource licenses
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spending energy for saving lives is more than a fair trade off
A 37-year-old man with a rare blood disease was being sent to hospice.
An AI model searched thousands of existing drugs and ranked a combination no one had tried for his condition.
He responded within a week. He is in remission.
The drugs were already on the shelf. The AI model found the match.
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grok knows something you dont
Akash Network is the most mature option. Launched in 2018 with mainnet in 2020, it runs a fully permissionless reverse-auction marketplace for CPU/GPU/containerized compute. Providers bid openly, settlement uses on-chain AKT or USDC that machines and agents can handle programmatically, and it has years of real lease revenue with no central gatekeepers.
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Greg Osuri 🇺🇸 retweeted
BlackRock just mapped the machine-native economy: AI as machine intelligence, crypto as machine money, and compute as the next tokenized market. Hyperscaler cloud could top $1T by 2030. Agents will buy capacity on programmable rails, settle in stablecoins, and treat compute like a claim you can finance and trade.
Akash shipped that market in 2021.
Mainnet 2 went live as a permissionless compute marketplace: tenants set the price, providers bid unused CPUs and GPUs, leases settle on-chain in AKT. While institutions were still describing “standardized claims on compute,” Akash was already leasing them.
The paper says the rails and the commodity are converging now. Akash has five years of product, GPU marketplace, and machine-payable leases.
The thesis caught up. Time is right. $AKT
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
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Grayscale’s compute bottleneck thesis is on point: Inference demand is colliding with grid queues, permits, transformers, and political resistance. Owners of already-energized capacity capture the rents.
Their note also names the other side of that market: decentralized GPU marketplaces like Akash.
We don’t wait 5 years for a new campus. We put unused, already-powered GPUs to work -- from data centers, miners, and Homenodes -- and price them in an open marketplace.
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Intelligence is improving exponentially
Just a reminder that GLM 5.3 Flash, DeepSeek V4.1 Flash, Qwen 3.8 Next Flash, and even Qwen 3.8 27B are all outperforming (in both intelligence and capabilities) every model that was considered "frontier intelligence" in Xmas 2025 (just 10 months ago)
Opensource AI is on fire
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Why is the GOP actively trying to self-sabotage the party? Is there a rogue internal faction that’s tasked with alienating its majority members?
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I’m of the absolute belief that only AI will help America dig out of our mountainous debt.
China knows this and is trying every possible way to stop American AI progress.
Luddites are falling for the propaganda and they must be stopped at all costs.
USA will prevail like we always do 🇺🇸
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Rune is exactly the type of provider Akash designed for. They currently supply B300s to the network, and we'll see more of small modular data centers that are innovating on energy provide compute to Akash.
We've raised $40M to turn stranded solar power into AI compute, no grid connection required.
Meet RELIC, the drama-free data center, deployed in under 60 minutes and already live at a 200MW site in Texas.
More from @adele_peters at @FastCompany.
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“AI will kill us all in 4 years”
EXCLUSIVE: AI actress Tilly Norwood glitches and starts speaking CHINESE during her interview with Piers Morgan and real-life actor Tom Conti...
Watch the full interview at 7pm (BST)👇
📺 piped.video/piersmorganuncen…
@piersmorgan | @TillyNorwoodX
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