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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
AIA amplia atuação e se transforma na associação Digia https://telesintese.com.br/aia-amplia-atuacao-e-se-transforma-na-associacao-digia-com-foco-em-infraestrutura-digital/ #datacenter #EdgeComputing #internet
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@Tipa@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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