Core Compute

267 posts

Core Compute banner
Core Compute

Core Compute

@Core_Compute

Tokenizing real-world AI infrastructure | 500 live GPUs | Revenue active | Scaling to 100 data centers Backed by @HerculesVC , @XFounders_camp & @CyreneAI

Присоединился Aralık 2025
4 Подписки1.4K Подписчики
Закреплённый твит
Core Compute
Core Compute@Core_Compute·
$CORE IS LIVE ON SOLANA CA: TWyqV65vGMFt95SrCAVUKu65Mw2is9GnSNK55Egcyai The moment is finally here - $CORE is officially live & tradable on the @CyreneAI launchpad. Core Compute: where real infrastructure meets on chain economies.
Core Compute tweet media
English
20
2
69
10.3K
Core Compute
Core Compute@Core_Compute·
@kimmonismus 30 watts is a dream, but keeping brain cells alive in a rack sounds like a maintenance nightmare.
English
0
0
0
29
Chubby♨️
Chubby♨️@kimmonismus·
Wild times ahead: "Biological data center" Australian startup Cortical Labs is developing a “biological data center” that uses living human brain cells instead of traditional semiconductor chips. Its CL1 computer links neurons to electrodes, letting them learn tasks - such as playing Doom after about a week - while consuming only ~30 watts, far less than power-hungry AI hardware. The idea could dramatically cut energy use in data centers, though experts say biological computing is still experimental and faces challenges like limited cell lifespan and unclear training methods.
Chubby♨️ tweet media
English
34
34
232
13.8K
Core Compute
Core Compute@Core_Compute·
@FransBakker9812 Agreements are easy, but deployment is the hard part. We focus on iron that’s already live.
English
0
0
1
317
Core Compute
Core Compute@Core_Compute·
@LandoInvests Hyperscalers love 1.4GW on paper. We love the 500+ GPUs we actually have live right now.
English
0
0
1
275
Lando
Lando@LandoInvests·
Just a reminder that $IREN has the largest data center in the world coming online in April Sweetwater 1 is a hyperscalers dream 1.4GW
Lando tweet media
English
15
18
359
22.2K
Core Compute
Core Compute@Core_Compute·
@kimmonismus Scaling jumps always hit the grid first. We’re already building solar sites to handle it.
English
0
0
0
32
Chubby♨️
Chubby♨️@kimmonismus·
Something big is coming: „A massive AI breakthrough is coming in the first half of 2026—and Morgan Stanley says most of the world isn’t ready for it.“ Morgan Stanley warns that a massive AI capability jump driven by unprecedented compute scaling at U.S. labs could arrive in early 2026, triggering rapid productivity gains, job disruption, and severe power shortages as intelligence becomes the key economic resource.
Chubby♨️ tweet media
English
200
180
1.4K
176.3K
Core Compute
Core Compute@Core_Compute·
@IREN_Ltd @NVIDIAGTC Everyone talks about the "next gen" while startups just need a rack that actually turns on today
English
0
0
0
198
IREN
IREN@IREN_Ltd·
@NVIDIAGTC #GTC26 begins next week in San Jose. For today's AI builders, time-to-compute is crucial. $IREN is responding to that need - delivering the physical infrastructure required for high-performance AI training and inference at scale. Find $IREN at Booth #1107. Register for our session with CCO Kent Draper: Vertically Integrated AI Cloud: Accelerating AI Development 👉 nvidia.com/gtc/session-ca… #NVIDIAGTC #IREN #CloudInfrastructure
IREN tweet media
English
16
28
386
20.9K
Core Compute
Core Compute@Core_Compute·
@MilkRoadAI Superintelligence is a hell of a drug. Turns out real chips and water are harder than slides.
English
0
0
0
45
Milk Road AI
Milk Road AI@MilkRoadAI·
This clip did not age well. Alexandr Wang, Meta’s Chief AI Officer, once said the company had everything necessary to achieve superintelligence. He said there were no obstacles, that Meta had a hundred cracked AI scientists, hundreds of billions in compute and a plan to deploy superintelligence to every person on the planet. That was the pitch used to recruit the world’s top AI talent. Here is what actually happened. Meta has delayed its flagship AI model, code-named Avocado, after it failed to match frontier models from Google, OpenAI, and Anthropic on core benchmarks like reasoning, coding and writing. The model was supposed to launch this month but has now been pushed to May at the earliest. Inside the company, leadership is reportedly discussing whether to license Google’s Gemini model to power parts of Meta’s AI products. That means the company planning to spend up to $135 billion in capex this year to build superintelligence may end up renting Google’s AI instead. Wang was brought in after Meta acquired Scale AI for $14.3 billion, and his role was supposed to ensure Meta stayed competitive at the frontier. Despite the hundreds of billions in infrastructure and the massive hiring spree of top researchers, the result so far is a delayed model that cannot outperform a Google release from last November. Meanwhile, Google has already secured major distribution deals for Gemini. Apple is reportedly working on a deal worth up to $5 billion. Samsung devices already run on Gemini and Meta could be next. The company that promised to build superintelligence for its 3.6 billion users may end up paying a licensing fee to the company many people once dismissed as just a search engine.
Milk Road AI@MilkRoadAI

Mark Zuckerberg stood in front of the world and promised to build personal superintelligence for everyone. He said Meta had the resources, infrastructure, and billions to bring the future closer. That video aged like milk left in the sun. Meta’s flagship AI model, code named Avocado has been delayed. It reportedly failed to keep up with rivals on basic tasks like reasoning, coding and writing. The model was supposed to launch this month and it has been pushed to May at the earliest.​ Here is the part that should make every Meta investor sit up straight. Meta's own AI leadership is now discussing licensing Google's Gemini to power Meta AI products. The company that pledged to build superintelligence is now considering renting someone else's brain. This is happening after Meta committed between $115 billion and $135 billion in capital spending for 2026 alone nearly double what it spent last year. Zuckerberg told analysts this would be the year "AI fundamentally transforms our work processes." Instead, Avocado could not even beat Google's Gemini 3.0 from November. It outperformed Meta's older models. It edged past Google's Gemini 2.5 from March but against the current frontier, it fell short on every critical benchmark. The backstory makes this even worse. Zuckerberg personally poached over 20 researchers from OpenAI. He dropped $14.3 billion on Scale AI and installed its 28 year old founder, Alexandr Wang, as Chief AI Officer. He created an entirely new division called Meta Superintelligence Labs. Some recruits received signing bonuses reportedly as high as $100 million. The result of all that spending and all that talent was two models, Avocado for text and Mango for images and both kept slipping their deadlines. Avocado was first expected by late 2025, then early 2026, then mid-March, and now May at the earliest. Meanwhile, Google is becoming the default intelligence layer for the biggest companies on the planet. Apple already signed a multiyear deal for Gemini to power the new Siri and Apple Intelligence features. Analysts estimate that deal could be worth up to $5 billion for Google and Samsung's Galaxy AI already runs on Gemini. If Meta ends up licensing Gemini too, Google could effectively power the AI behind platforms serving well over five billion users combined. That includes Apple’s 1.5 billion devices, Samsung’s massive base, and Meta’s 3.6 billion monthly active users.

English
8
6
38
8.2K
Small Cap Snipa
Small Cap Snipa@SmallCapSnipa·
AI investors should listen to this $IREN CEO Dan Roberts on the future of compute: “If you ask Chat GPT to create an image how long does it take? Maybe a minute. What if it took 10 seconds? Would people generate more or less images? Of course more” Speed & efficiency drive demand This is the future of humanity
English
17
21
304
93.5K
Core Compute
Core Compute@Core_Compute·
@pubity Full circle: AI replaces us, then hires us back. We just provide the local GPUs.
English
0
0
0
23
Pubity
Pubity@pubity·
A new startup called RentAHuman allows companies to rent humans for their AI agents to complete real-world tasks that computer programs can't. For now, it'll give humans a way to find work for employers that replaced real people with AI.
Pubity tweet mediaPubity tweet media
English
15
13
97
7.5K
Core Compute
Core Compute@Core_Compute·
@Pirat_Nation Half a million people waiting for bots to hire them. The iron bottleneck is real.
English
0
0
0
31
Pirat_Nation 🔴
Pirat_Nation 🔴@Pirat_Nation·
AI agents are now hiring humans to carry out real-world tasks. RentAHuman is a marketplace where AI agents hire humans for physical, real-world tasks that bots cannot perform. Over 518,000 humans have registered to offer their labor to AI agents. The site continues to operate and grow, though actual paid task volume remains limited compared to registrations.
Pirat_Nation 🔴 tweet mediaPirat_Nation 🔴 tweet media
English
79
55
579
46.2K
Core Compute
Core Compute@Core_Compute·
@Coinvo Orbital cooling is free, but the latency is a nightmare. We’ll stick to the ground.
English
0
0
0
23
Coinvo
Coinvo@Coinvo·
MASSIVE: Elon Musk's SpaceX plans to launch 1 million AI Data Centers into orbit! 🤯
Coinvo tweet mediaCoinvo tweet media
English
35
59
776
37.3K
Core Compute
Core Compute@Core_Compute·
@WSJ It’s about time someone split prefill and decode. Real iron beats general cloud every day.
English
0
0
0
28
The Wall Street Journal
Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup on.wsj.com/4usuPQn
English
6
9
48
31.5K
Core Compute
Core Compute@Core_Compute·
@satyanadella Validation is a start. We’re busy plugging real racks into the ground and shipping today.
English
0
0
0
133
Satya Nadella
Satya Nadella@satyanadella·
We’re the first cloud to bring up an NVIDIA Vera Rubin NVL72 system for validation, another big step in building the next generation of AI infrastructure with NVIDIA.
Satya Nadella tweet media
English
432
733
6.4K
696.8K
Core Compute
Core Compute@Core_Compute·
@BLaw $50B for leases is wild. We just build our own solar-powered racks on the ground.
English
0
0
0
15
Bloomberg Law
Bloomberg Law@BLaw·
Microsoft Corp. and Meta Platforms Inc. each committed nearly $50 billion in additional data center leases in their most recent quarters, underscoring an escalating bet the tech industry is making on artificial intelligence. news.bloomberglaw.com/tech-and-telec…
English
2
0
3
668
Core Compute
Core Compute@Core_Compute·
@PolymarketMoney Turnkey is the new magic word. Software architecture still needs real iron and solar.
English
0
0
0
24
Polymarket Money
Polymarket Money@PolymarketMoney·
$PLTR announced a sovereign AI operating system reference architecture with $NVDA designed to give customers a turnkey AI data center from hardware procurement through application deployment. The partnership is aimed at simplifying the full stack from infrastructure buildout to real-world AI deployment.
Polymarket Money tweet media
English
9
38
264
13.5K
Core Compute
Core Compute@Core_Compute·
@exec_sum Cutting jobs for code tools is cold. Building real data centers shouldn’t cost humans.
English
0
0
0
21
Exec Sum
Exec Sum@exec_sum·
BREAKING: Oracle is preparing for job cuts in the coming months, citing AI coding tools for driving efficiencies across its teams The cuts also come as Oracle looks to conserve cash to fund its costly data center buildout
English
9
16
158
11.4K
Core Compute
Core Compute@Core_Compute·
@JoshKale Turning cars into workers sounds cool until you see the latency. Real iron in racks still wins
English
0
0
0
194
Josh Kale
Josh Kale@JoshKale·
Tesla is mass deploying AI agents to ~5 million cars AND is turning its Supercharger network into one HUGE distributed AI data center Their Superchargers have ~7 gigawatts of idle grid capacity being converted to AI compute and now your parked Tesla can now do real knowledge work No one else has this combination: millions of AI-equipped endpoints already deployed, thousands of grid-connected locations with massive idle power, and a frontier reasoning model orchestrating it all The Supercharger network was already a distributed data center. Tesla just turned it on.
Elon Musk@elonmusk

Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving. We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.

English
19
92
1K
82.1K
Core Compute
Core Compute@Core_Compute·
@ns123abc This is exactly why we build regional centers. Centralized targets are too risky
English
0
0
0
431
NIK
NIK@ns123abc·
🚨BREAKING: Iran declares NVIDIA, Microsoft, Google, IBM, Oracle, and Palantir offices and data centers legitimate military targets >their technology has been used for military applications ITS HAPPENING
NIK tweet mediaNIK tweet media
English
544
3.8K
25.2K
2.7M
Core Compute
Core Compute@Core_Compute·
@business Borrowing for AI is the new normal. We skipped the debt trap and just built real iron
English
0
0
0
24
Core Compute
Core Compute@Core_Compute·
@Cointelegraph Software layers are flashy, but they still need real iron in the racks to actually run
English
0
0
0
32
Cointelegraph
Cointelegraph@Cointelegraph·
🔥 TODAY: NVIDIA teams up with Palantir Technologies to build a new AI operating system.
Cointelegraph tweet mediaCointelegraph tweet media
English
65
72
442
25.3K
Core Compute
Core Compute@Core_Compute·
@Pirat_Nation Valve asking for RAM is the ultimate vibe check. Real infrastructure needs a deeper supply
English
0
0
56
3.6K
Pirat_Nation 🔴
Pirat_Nation 🔴@Pirat_Nation·
Valve at GDC 2026 addressed the ongoing DDR5 shortage directly: "If you have a line on a bunch of RAM, we are in the market and would like to buy it." They added there would be no hardware announcements "unless anybody has RAM." The presentation slides still confirmed all three products are on track for a 2026 launch.
Pirat_Nation 🔴 tweet mediaPirat_Nation 🔴 tweet media
English
44
110
3K
178K