storage technology
30 articles about storage technology in AI news
IBM Demonstrates Extreme Scale for Content-Aware Storage with 100-Billion
IBM Research announced a breakthrough in vector database technology, achieving storage capacity of 100 billion vectors. This enables content-aware storage systems that can understand and retrieve data based on semantic meaning rather than just metadata.
CATCHES Launches Generative AI Fashion Sizing Technology
CATCHES has launched a new generative AI technology designed to address fashion sizing challenges. The system aims to create more accurate and personalized size recommendations, potentially reducing returns and improving customer experience.
The Trillion-Dollar AI Infrastructure Boom: How Data Center Spending Is Reshaping Technology
AI infrastructure spending is accelerating at unprecedented rates, with data center capital expenditures projected to reach $800 billion by 2026 and surpass $1 trillion annually by 2027, signaling a fundamental transformation in global technology investment.
Elon Musk: US Grid Capacity Could Double with Battery Storage
Elon Musk highlighted that the US peak power output is ~1.1 TW, but average is 0.5 TW, suggesting batteries could double grid energy delivery by charging at night and discharging during the day.
Google, Marvell in Talks to Co-Develop New AI Chips, Including TPU-Optimized MPU
Google is reportedly in talks with Marvell Technology to co-develop two new AI chips: a memory processing unit (MPU) to pair with TPUs and a new, optimized TPU. This move is a direct effort to bolster Google's custom silicon stack and compete with Nvidia's dominance.
Product Quantization: The Hidden Engine Behind Scalable Vector Search
The article explains Product Quantization (PQ), a method for compressing high-dimensional vectors to enable fast and memory-efficient similarity search. This is a foundational technology for scalable AI applications like semantic search and recommendation engines.
Mediagenix Enhances Content Personalization with AI Semantic Search for Better Discovery
Media technology company Mediagenix has integrated AI-powered semantic search into its content management platform to improve content discovery and personalization for broadcasters and media companies. This represents a practical application of embedding technology in the media sector.
Modulate's Voice API Disrupts AI Transcription Market with 10-90x Cost Reduction
Startup Modulate has launched a voice transcription API that's 10-90x cheaper than established players like Deepgram and AssemblyAI. This dramatic price reduction could fundamentally reshape the economics of voice AI applications and make transcription technology accessible to a much broader market.
Logira: The eBPF Auditor Bringing Transparency to AI Agent Operations
Logira, a new open-source tool, uses eBPF technology to provide OS-level runtime auditing for AI agents like Claude Code, addressing the critical need for visibility into what automated systems actually do during execution.
XSKY's Hong Kong IPO Signals China's AI Infrastructure Boom
Beijing-based AI storage provider XSKY has filed for a Hong Kong IPO after reaching profitability with RMB 811 million revenue in 2025's first nine months. Backed by Tencent and Boyu Capital, the company's move highlights growing demand for specialized AI infrastructure as computational needs explode.
SoftBank to Build Water-Based Batteries for AI Data Centers by 2028
SoftBank will manufacture zinc-halogen batteries at its Osaka AI data center campus, targeting gigawatt-hour production by 2028 and ¥100B revenue by 2030.
PJM Reports 220GW Grid Requests, Google-Backed AI Processes Queue
PJM received 811 projects totaling 220GW in first reformed cycle using Google-backed Tapestry's agentic AI, reducing queue backlog from 300GW to 170GW.
X-energy raises $1B+ in IPO for Amazon-backed SMRs
X-energy, an Amazon-backed small modular reactor firm, raised over $1 billion in its IPO by selling 44.3 million shares. The funding targets SMRs to power AI data centers, addressing soaring energy demands from AI infrastructure.
OpenCLAW-P2P v6.0 Cuts Paper Lookup Latency to <50ms
OpenCLAW-P2P v6.0 introduces a multi-layer persistence architecture and live reference verification, reducing paper retrieval latency from >3s to <50ms and operating with 14 autonomous agents that scored 50+ papers.
Quantum Breakthrough: 100,000 Qubits Now Threatens Encryption
The estimated qubits required to break RSA encryption has collapsed from 1 billion in 2012 to just 10,000 in 2026, based on recent papers from Caltech, Google, and quantum startup Oratomic.
Google DeepMind Maps AI Attack Surface, Warns of 'Critical' Vulnerabilities
Google DeepMind researchers published a paper mapping the fundamental attack surface of AI agents, identifying critical vulnerabilities that could lead to persistent compromise and data exfiltration. The work provides a framework for red-teaming and securing autonomous AI systems before widespread deployment.
Vibe's $227M ARR Shows AI-Powered CTV Ads Are Eating Linear TV Budgets
Ad platform Vibe.co reports $227M in annual recurring revenue, growing 264% year-over-year. The surge is driven by AI that optimizes Connected TV ads by combining identity graphs with transactional data, convincing brands to shift major budgets.
Meta Deploys Unified AI Agents to Manage Hyperscale Infrastructure
Meta's engineering team has built and deployed a system of unified AI agents to autonomously manage capacity and performance across its hyperscale infrastructure. This represents a significant shift from rule-based automation to AI-driven orchestration for one of the world's largest computing fleets.
Cognee Open-Source Framework Unifies Vector, Graph, and Relational Memory for AI Agents
Developer Akshay Pachaar argues AI agent memory requires three data stores—vector, graph, and relational—to handle semantics, relationships, and provenance. His open-source project Cognee unifies them behind a simple API.
InsForge Open-Source Framework Gives AI Agents Backend Database & Auth
Developer Akshay Pachaar launched InsForge, an open-source framework that exposes backend primitives through a semantic layer AI agents can understand. This aims to solve a core weakness where agents excel at frontend code but fail at backend logic.
Agent Harness Engineering: The 'OS' That Makes LLMs Useful
A clear analogy frames raw LLMs as CPUs needing an operating system. The agent harness—managing tools, memory, and execution—is what creates useful applications, as proven by LangChain's benchmark jump.
Google Launches AI Edge Eloquent: Free, Offline-First Dictation App on iOS
Google has quietly launched AI Edge Eloquent, a free, subscription-less dictation app for iOS. It uses a Gemma-based speech recognition model to process audio locally, removing filler words and self-corrections to produce cleaner text.
Building a Multimodal Product Similarity Engine for Fashion Retail
The source presents a practical guide to constructing a product similarity engine for fashion retail. It focuses on using multimodal embeddings from text and images to find similar items, a core capability for recommendations and search.
Building a Memory Layer for a Voice AI Agent: A Developer's Blueprint
A developer shares a technical case study on building a voice-first journal app, focusing on the critical memory layer. The article details using Redis Agent Memory Server for working/long-term memory and key latency optimizations like streaming APIs and parallel fetches to meet voice's strict responsiveness demands.
Travis Kalanick's 30-Hour AI Interview on Uber's Founding Tech Culture
Travis Kalanick used AI to interview Uber's first CTO, Oscar Salazar, for over 30 hours. The session documented foundational engineering standards, hiring/firing principles, and cultural traits from Uber's startup phase.
Azure ML Workspace with Terraform: A Technical Guide to Infrastructure-as-Code for ML Platforms
The source is a technical tutorial on Medium explaining how to deploy an Azure Machine Learning workspace—the central hub for experiments, models, and pipelines—using Terraform for infrastructure-as-code. This matters for teams seeking consistent, version-controlled, and automated cloud ML infrastructure.
Zilan Lin on AI-Driven Motion Design and Redefining Luxury Visuals for the Gen Z Era
An interview with creative director Zilan Lin explores how AI-powered motion design tools are being used to create more dynamic, authentic, and culturally relevant visual content for luxury brands targeting Gen Z consumers.
Nemotron ColEmbed V2: NVIDIA's New SOTA Embedding Models for Visual Document Retrieval
NVIDIA researchers have released Nemotron ColEmbed V2, a family of three models (3B, 4B, 8B parameters) that set new state-of-the-art performance on the ViDoRe benchmark for visual document retrieval. The models use a 'late interaction' mechanism and are built on top of pre-trained VLMs like Qwen3-VL and NVIDIA's own Eagle 2. This matters because it directly addresses the challenge of retrieving information from visually rich documents like PDFs and slides within RAG systems.
Renewables Hit 49.4% of Global Electricity Capacity in 2025, Adding 692 GW as Solar Powers AI Growth
Renewable energy reached 49.4% of global electricity capacity in 2025, adding 692 GW in a single year. Solar contributed 511 GW, becoming the primary driver as energy demands from AI compute surge.
Morgan Stanley Predicts 10x Compute Spike to Double AI Intelligence, Highlights 18 GW Energy Crisis
Morgan Stanley forecasts a massive AI leap from a 10x increase in training compute, but warns of an 18-gigawatt U.S. power shortfall by 2028. The report claims GPT-5.4 matches human experts with 83% on GDPVal.