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#aistorage — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aistorage, aggregated by home.social.

  1. AI Drives Hard Drive Demand and Supply Shortages

    Find out why AI is driving up hard drive costs and causing shortages. Learn how this affects consumers and businesses.

    #AIstorage, #HardDriveShortage, #TechPrices, #WesternDigital, #AIdata

    newsletter.tf/why-ai-is-causin

  2. AI Drives Hard Drive Demand and Supply Shortages

    Find out why AI is driving up hard drive costs and causing shortages. Learn how this affects consumers and businesses.

    #AIstorage, #HardDriveShortage, #TechPrices, #WesternDigital, #AIdata

    newsletter.tf/why-ai-is-causin

  3. 🔵 Western Digital Innovation Day 2026
    📅 Feb 3 | NYC
    🎯 AI storage breakthroughs for hyperscale & enterprise
    📈 Analysts raise targets to $257 ahead of Jan 29 earnings

    #AdwaitX #WesternDigital #AIStorage #DataCenter #TechNews #CloudComputing #News

    adwaitx.com/western-digital-in

  4. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  5. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  6. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  7. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  8. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

  9. Ah yes, the groundbreaking revelation that AI models can be squished into datasets 🤯. Now we can store these majestic neural nets in our back pockets, because who wouldn't want to lug around gigabytes of "innovation"? 📦🎉
    scalarlm.com/blog/llm-deflate- #AIinnovation #AIstorage #neuralnets #techrevolution #dataengineering #HackerNews #ngated

  10. Ah yes, the groundbreaking revelation that AI models can be squished into datasets 🤯. Now we can store these majestic neural nets in our back pockets, because who wouldn't want to lug around gigabytes of "innovation"? 📦🎉
    scalarlm.com/blog/llm-deflate- #AIinnovation #AIstorage #neuralnets #techrevolution #dataengineering #HackerNews #ngated

  11. Ah yes, the groundbreaking revelation that AI models can be squished into datasets 🤯. Now we can store these majestic neural nets in our back pockets, because who wouldn't want to lug around gigabytes of "innovation"? 📦🎉
    scalarlm.com/blog/llm-deflate- #AIinnovation #AIstorage #neuralnets #techrevolution #dataengineering #HackerNews #ngated

  12. Ah yes, the groundbreaking revelation that AI models can be squished into datasets 🤯. Now we can store these majestic neural nets in our back pockets, because who wouldn't want to lug around gigabytes of "innovation"? 📦🎉
    scalarlm.com/blog/llm-deflate- #AIinnovation #AIstorage #neuralnets #techrevolution #dataengineering #HackerNews #ngated

  13. 🚀🎉 Behold, the latest shiny object for the Rust fan club: a graph-vector database that nobody asked for but everyone will pretend to need. 🤖💾 Because what the world really needed was yet another way to store AI's endless babble, now with 30% more buzzwords! 🌟
    github.com/HelixDB/helix-db/ #RustDatabase #RustCommunity #AIStorage #BuzzwordOverflow #GraphVector #HackerNews #ngated