Kingston DC3000ME 30.72TB SSD pushes PCIe 5.0 storage into absurd territory

https://fed.brid.gy/r/https://nerds.xyz/2026/04/kingston-dc3000me-30tb-gen5-ssd/

Fujifilm LTO Ultrium 10 40TB tape cartridge arrives in the US proving tape storage is not dead yet

https://fed.brid.gy/r/https://nerds.xyz/2026/04/fujifilm-lto10-40tb-tape/

Sandisk refreshes Portable SSD lineup

https://fed.brid.gy/r/https://nerds.xyz/2026/02/sandisk-portable-ssd-2026/

Samsung PM9E1 shows what AI-ready PCIe Gen5 storage looks like

https://fed.brid.gy/r/https://nerds.xyz/2026/01/samsung-pm9e1-pcie-gen5-ssd/

🔵 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

https://www.adwaitx.com/western-digital-innovation-day-2026-ai-storage/

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.

https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/

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

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.

https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/

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