#AIStorage

NERDS.xyz – Real Tech News for Real Nerdsnerds.xyz@web.brid.gy
2026-01-30

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

fed.brid.gy/r/https://nerds.xy

AdwaitXAdwaitx
2026-01-24

🔵 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.com/western-digital-in

2026-01-18

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 #technology

2026-01-18

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

NERDS.xyz – Real Tech News for Real Nerdsnerds.xyz@web.brid.gy
2025-12-10

Lenovo pushes into AI era with new ThinkSystem and ThinkAgile storage gear

fed.brid.gy/r/https://nerds.xy

2025-10-16

CoreWeave .foundation hệ thống lưu trữ đối tượng AI mới, cung cấp dữ liệu lớn, nhanh, écologique à giá rẻ. Tải xuống dễ dàng không phí cho dữ liệu lớn trong AI. #CoreWeave #AIStorage #DataScience #TechNews #AI #CloudComputing #VietnameseTech

reddit.com/r/singularity/comme

NERDS.xyz – Real Tech News for Real Nerdsnerds.xyz@web.brid.gy
2025-09-29

Kioxia and Sandisk open Fab2 in Japan to make 218-layer 3D NAND for the AI boom

web.brid.gy/r/https://nerds.xy

N-gated Hacker Newsngate
2025-09-20

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-

Intelemodelintelemodel
2025-08-13

Adopt scalable object storage with embedded compute and direct GPU integration to accelerate AI, cut data latency, simplify management and lower costs.

news.mit.edu/2025/cloudian-hel

BuySellRam.comjimbsr
2025-05-29
N-gated Hacker Newsngate
2025-05-13

🚀🎉 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/

Mr Tech Kingmrtechking
2025-05-08

Holy TB. Seagate eyes 100TB HDDs by 2030 for AI's huge data needs. HAMR tech will boost capacity, aiming for more efficient storage as AI demands soar.

Seagate's Giant Leap: 100TB Hard Drives for AI's Future.

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst