#datacenter

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@benroyce@mastodon.social · Apr 12, 2026
Will Hollingsworth is his name Give him a listen Talking against a #dataCenter proposal in Ravenna, #Ohio Speaking eloquently on how he trained the #AI that replaced him, bad #regulations, lying #techBros... Witty, passionate, persuasive Will is a #citizen in the finest sense of the word "I am not a cynic when it comes to #technology. I am believer in #community. I believe that a drop of clean #water for a Ravenna child is worth more than a billion #AI generated images" 👏 👏 👏
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@onmywalk@vmst.io · Apr 09, 2026
Sign the petition: a moratorium on #Datacenter construction in #NJ #NewJersey https://engage.pinelandsalliance.org/datacentersnj
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@Areeb_Soo_Yasir@mastodon.areebyasir.com · Apr 04, 2026
#Vietnam and #China will push the huge #datacenter push even higher. Vietnam has already been emerging as a tech hub in Asia and will hold a lot more #business and #investment opportunities as well the whole of #asia https://www.rt.com/news/637294-china-vietnam-security-paradigm-asia/
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@TheBadPlace@mastodon.ozioso.online · Apr 02, 2026
The Guardian | Google to tap into gas plant for AI datacenter in sharp turn from climate goals by Dara Kerr Texas power plant would emit 4.5m tons of carbon dioxide per year, more than that of the entire city of San Francisco Google has struck a partnership for a natural gas power plant that could provide energy for one of its datacenters in Texas, unearthed by new research and confirmed by the company. The move is part of an ongoing about-face for the tech giant, which once pledged to be carbon neutral by 2030 and has long been seen as a pioneer in clean energy. The gas power plant is slated to be built in Armstrong county, a sparsely populated area in the Texas panhandle. According to a report by the research organization Cleanview, the project is being led by Crusoe Energy, which partnered with Google to develop the datacenter campus known as “Goodnight”, named after a nearby town. Continue reading... Read more: https://www.theguardian.com/technology/2026/apr/02/google-ai-datacenter #ai(artificialintelligence) #climatecrisis #google #datacenter #carbondioxide
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@alexbsr2@universeodon.com · Apr 01, 2026
The DRAM market in 2026 is no longer moving as a single cycle. DDR5 prices are finally declining at the retail level, driven by weakened consumer demand, inventory liquidation, and improved AI memory efficiency. At the same time, enterprise demand continues to surge as massive AI infrastructure investments absorb global supply. This isn’t a crash—it’s a divergence: Retail prices are correcting Enterprise pricing remains elevated Structural supply pressure still exists Understanding this split is critical for making the right buy or sell decisions in today’s hardware market. https://www.buysellram.com/blog/why-ddr5-retail-prices-are-dropping-despite-the-ai-infrastructure-boom/ #DDR5 #DDR4 #MemoryMarket #DataCenter #Semiconductors #SupplyChain #PriceDrop
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@alexbsr2@universeodon.com · Apr 01, 2026
DDR5 RAM prices are finally showing signs of relief—dropping by as much as 30% in select cases. However, this is not a true market correction, but rather a temporary fluctuation within a much larger supply crisis. Recent price dips are largely tied to emerging technologies like Google’s TurboQuant, which could reduce AI memory demand. Yet the broader reality remains unchanged: AI data centers continue to dominate DRAM supply, keeping overall availability tight and prices historically elevated. Even with recent declines, DDR5 kits are still 3–4× higher than pre-2025 levels, and inventory remains constrained. In short, what we are seeing is stabilization—not recovery. The “memory shortage era” is far from over, and volatility will likely persist through 2026 and beyond. https://www.notebookcheck.net/DDR5-RAM-prices-fall-by-as-much-as-30-but-memory-shortage-likely-far-from-over.1263431.0.html #DDR5 #RAM #MemoryMarket #AIInfrastructure #Semiconductors #TechNews #Hardware #Datacenter #AI #SupplyChain
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@TheBadPlace@mastodon.ozioso.online · Mar 31, 2026
Observer | Starcloud CEO Philip Johnston on Putting the First A.I. Data Center in Space by Tom Samiljan Starcloud-9293.jpg?quality=80&w=970" alt="Three men in black shirts posing for a photo" width="970" height="647" data-caption='Philip Johnston (middle) and his co-founders, Adi Oltean (right) and Ezra Feilden (left). Gregor Elgee'> In November, a 60-kilogram satellite the size of a small refrigerator called Starcloud-1 streaked into low Earth orbit aboard a SpaceX rocket carrying the first data-center-class GPU ever operated in space—an Nvidia H100 roughly 100 times more powerful than any prior orbital compute. Within weeks, Starcloud, the company making the satellite, announced it had trained a language model on the complete works of Shakespeare and had run Google’s Gemini from roughly 200 miles above Earth. “The spacecraft is performing better than we could have hoped for,” Philip Johnston, co-founder and CEO of Starcloud, told Observer. Johnston founded the Redmond, Wash. company in early 2024, backed by a conviction that has since attracted $200 million from investors, including Nvidia, In-Q-Tel, Sequoia Capital and Y Combinator: Rather than build better infrastructure on Earth to satiate A.I.’s runaway energy appetite, move the infrastructure off of Earth entirely. Today (March 30), the company announced it raised a $170 million in Series A funding at a $1.1 billion valuation, helping it reach unicorn status in just 17 months (and the quickest to do so in Y Combinator’s history). Johnston, 39, brings a distinctly financial pragmatism to the cosmos. Before pivoting to aerospace, Johnston served as an algorithmic trader at BNP Paribas, consulted for national space agencies at McKinsey and co-founded Opontia, an e-commerce aggregator that raised $46 million before being acquired. Starcloud-1 is the first data center in space Orbital data centers have a cooling problem Space data centers are gaining steam amid regulatory and political risks Read more: https://observer.com/2026/03/starcloud-ceo-philip-johnston-nvidia-space-data-center/ #datacenter #nvidia #space #spacex
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@tiagojferreira@bolha.us · Mar 27, 2026
"Imagina, a gente exporta cacau e o melhor chocolate do mundo não está aqui. Por quê? No Vale do Ribeira, historicamente só vendíamos banana e só agora querem industrializar lá", diz. "Eu quero desenvolver minha IA [inteligência artificial] aqui também. Não quero só comprar IA das grandes. Quero no meu data center ser capaz de cuidar dos meus dados". https://www.em.com.br/tecnologia/2026/03/7384341-quero-desenvolver-minha-ia-aqui-diz-nova-diretora-da-poli-usp.html #ciencia #tecnologia #SoberaniaDigital #poliusp #datacenter #ia
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@cacu@todon.nl · Mar 25, 2026
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@TheBadPlace@mastodon.ozioso.online · Mar 25, 2026
Bloomberg Technology | Prologis CEO Sees Prolonged AI, Data Center Tailwinds Prologis CEO Dan Letter joins Bloomberg Businessweek Daily to discuss the state of global logistics and shipping as geopolitics and associated risk impacts the firm's customer base. However, Prologis is optimistic about its data center business. Letter says the company's strong relationship with hyperscalers is ongoing, bolstering "a fortress of a balance sheet" as Prologis continues to secure longer-term power capacity. Letter speaks with Carol Massar and Tim Stenovec. (Source: Bloomberg) Read more: https://www.bloomberg.com/news/videos/2026-03-25/prologis-ceo-sees-prolonged-ai-data-center-tailwinds-video #prologis #ceo #hyperscalers #globallogistics #datacenter
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@paul@oldfriends.live · Mar 24, 2026
2,080 acre hyperscale data center zoning map application submitted in Maysville-Mason County #Kentucky near the #OhioRiver in rural #Appalachia for “Cloud computing technologies.” The site is in the Ohio River Watershed, along the boundary between the Lee Creek and Lawrence Creek sub-watersheds. The project, west of downtown Maysville, is near Slack Pike Road, Germantown Road and Valley Pike near 'D's Thirsty Beaver' which is located at 3538 Germantown Rd, Maysville, KY 41056. This is the third hype-scale data center within 31 miles to be built. # 2, in the last image, at the former Stuart Coal power plant in Adams County, Manchester, Ohio, has already received federal approval. Another one is planned for the shuttered Killen Station in Rome, Ohio, just east of Manchester, Ohio, all on the Ohio River, in Adams County, also. #DataCenter #News The Maysville-Mason County Joint Planning Commission will host two days of public hearings on Wednesday, March 25, and Thursday, March 26 at 5:30 p.m. at the Maysville Community and Technical College Fields Auditorium. https://maysville-online.com/news/214311/hyperscale-data-center-zoning-map-amendment-application-submitted Data Center portal, City of Maysville-Mason County Joint Planning Commission: https://www.cityofmaysvilleky.gov/departments/codes_department/data_center.php Data Center zoning application: https://cms5.revize.com/revize/maysville/Document%20Center/Forms/New%20node/Planning%20&%20Zoning/Rezoning%20Application%20-%20Proposed%20Data%20Center%20in%20Mason%20County.pdf?t=202603121435580&t=202603121435580
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@tabmcleo@mastodon.social · Mar 07, 2026
This #datacenter in #alberta isn't going ahead for the time being. I think that's a good outcome! #ai #artificialintelligence #abpoli https://thenarwhal.ca/olds-data-centre-denied/
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@BuySellRam@mstdn.business · Mar 04, 2026
As the AI arms race accelerates, the 18-month hardware refresh cycle has transformed GPUs from simple components into high-value infrastructure assets. This article explores why selling hundreds of units—like NVIDIA’s H100 or A100—requires a shift from "peer-to-peer" thinking to "Enterprise ITAD" strategy. https://medium.com/@samlamucf/where-to-sell-gpus-in-bulk-a-practical-guide-for-ai-and-data-center-hardware-7d9c2216f020 #DataCenter #ITAD #GPU #EnterpriseTech #NVIDIA #TechStrategy #BuySellRam #CircularEconomy #AI #H100 #Blackwell #GPU #TechNews #EnterpriseAI #AssetRecovery
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@tiagojferreira@bolha.us · Mar 01, 2026
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@Tipa__dup_33429@gamepad.club · Feb 28, 2026
Steam Next Fest: MMO98 and Data Center These two games are related -- promise. Picture BTW is of the actual EverQuest server room. https://chasingdings.com/2026/02/28/steam-next-fest-mmo98-and-data-center/ #SteamGames #DataCenter #mmo98 #SimulationGame #SteamNextFest
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@bsrtech@flipboard.social · Feb 27, 2026
PC DRAM Contract Pricing Approaches 100% QoQ Surge TrendForce’s latest forecast signals a structural price shock across the memory and storage stack. Contract pricing for PC DRAM is projected to exceed 100% QoQ, while conventional DRAM, server DRAM, NAND, and enterprise SSDs are all seeing double-digit to near-triple-digit increases. The key driver is not traditional PC demand—it is the capacity reallocation toward HBM4 and AI infrastructure, which is tightening supply for mainstream memory. For IT procurement teams, this marks a shift from cyclical pricing to allocation-driven pricing, where long-term supply agreements and OEM demand dictate availability. For organizations holding surplus DDR4/DDR5, server memory, or enterprise SSDs, the current environment represents a rare asset-recovery window as secondary market values track rising contract prices. https://www.buysellram.com/blog/trendforce-2026-update-pc-dram-prices-to-double-as-hbm4-shipments-begin/ #PCDRAM #DRAM #MemoryMarket #HBM #AIInfrastructure #ServerMemory #DataCenter #ITAssetRecovery #Semiconductor #SupplyChain #Samsung #Micron #SKHynix #technology
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@bsrtech@flipboard.social · Feb 27, 2026
Toronto-based Taalas just emerged from stealth with a claim that’s shaking the hardware world: 17,000 tokens per second on Llama 3.1 8B. How? By physically etching the AI model directly into the silicon transistors. No HBM. No liquid cooling. Just raw, hardwired performance that is 10x faster and 20x cheaper than traditional GPU inference. https://www.buysellram.com/blog/17000-tokens-second-is-taalas-hardwired-silicon-the-ultimate-solution-to-the-ai-memory-wall-and-hbm-shortage/ The Breakthrough: Taalas has unveiled the HC1 chip, achieving a massive 17,000 tokens/second on Llama 3.1 8B. It is roughly 10x faster and 20x cheaper than traditional GPU inference. The “Hardwired” Secret: Unlike GPUs that load software, Taalas etches the AI model directly into the silicon transistors. By physically embedding the weights, they eliminate the need for High-Bandwidth Memory (HBM). Solving the Memory Wall: By removing the “data movement” between external memory and the processor, Taalas bypasses the industry’s biggest bottleneck—the Memory Wall—and operates entirely on standard air cooling. The Trade-off: The chip is model-specific. While it offers “insane” efficiency for stable, high-volume production (like 24/7 chatbots), it lacks the programmability and flexibility of a GPU. Market Impact: The rise of these specialized “Inference Factories” actually increases the long-term value of your GPUs. Because GPUs are versatile and can be repurposed for any new model, they remain the “Gold Standard” for resale and training. Demo LLM: chat jimmy #AI #ArtificialIntelligence #Hardware #Semiconductors #DataCenter #MemoryWall #HBMShortage #InferenceFactory #HardcoreAI #ASIC #Taalas #Llama3 #NVIDIA #technology
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@BuySellRam@mstdn.business · Feb 23, 2026
Taalas just emerged from stealth with a claim that’s shaking the hardware world: 17,000 tokens per second on Llama 3.1 8B. How? By physically etching the AI model directly into the silicon transistors. No HBM. No liquid cooling. Just raw, hardwired performance that is 10x faster and 20x cheaper than traditional GPU inference. https://www.buysellram.com/blog/17000-tokens-second-is-taalas-hardwired-silicon-the-ultimate-solution-to-the-ai-memory-wall-and-hbm-shortage/ #AI #ArtificialIntelligence #AIHardware #DataCenter #MemoryWall #HBMShortage #InferenceFactory #HardcoreAI #ASIC #Taalas #NVIDIA #technology
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