storage
30 articles about storage in AI news
KV Cache Offload Makes Storage the New AI Bottleneck
Storage, driven by KV cache offload and rising SSD costs, is now the primary AI bottleneck per Supermicro and SemiAnalysis.
Supermicro: Double-Wide Racks, Liquid Cooling, and the Storage Bottleneck
Supermicro CBO says double-wide racks and liquid cooling are standard for AMD Helios and NVIDIA Vera Rubin, and storage is now the main AI bottleneck.
GraphRAG Memory Design: Retrieval Over Storage, MCP Integration
Agent memory design prioritizes retrieval over storage, using unified MongoDB and MCP server. GraphRAG enables multi-hop traversal via three strategies.
We Cut Embedding Storage Costs by ~90% — Replacing S3 with PostgreSQL
A team cut embedding storage costs by ~90% by migrating from S3 to PostgreSQL with pgvector, enabling efficient vector search and on-demand retrieval for RAG and recommender systems, with no performance loss.
ColPali Beats OCR Pipelines for Document RAG: 8× Storage Cost, 0% Chunking
ColPali eliminates OCR and chunking for document-heavy RAG by encoding each 16×16 image patch into a 128-dim vector. It outperforms prior SOTA on the ViDoRe benchmark but costs 8× more storage per page.
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.
What Cursor's 8GB Storage Bloat Teaches Us About Claude Code's Clean Architecture
A deep dive into Cursor's scattered 8GB local storage reveals why Claude Code's ~/.claude/projects/*.jsonl approach is better for developers.
Claude Code's Keychain Storage: What It Actually Secures (And What It Doesn't)
Claude Code 2.1.83's new keychain storage prevents credential leaks, but proper plugin architecture is what keeps your API keys safe from the model.
Google's TurboQuant Cuts LLM KV Cache Memory by 6x, Enables 3-Bit Storage Without Accuracy Loss
Google released TurboQuant, a novel two-stage quantization algorithm that compresses the KV cache in long-context LLMs. It reduces memory by 6x, achieves 3-bit storage with no accuracy drop, and speeds up attention scoring by up to 8x on H100 GPUs.
ChatGPT Launches 'Library' Feature: Persistent Document Storage Across Conversations with 512MB File Limits
OpenAI introduces ChatGPT Library, a persistent storage system that saves uploaded files (PDFs, docs, images) at the account level for reuse across different chats. The feature is rolling out to Plus, Team, and Enterprise users with specific file size and token limits.
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.
Zep AI's Graphiti: Agent Memory Without Schema Is Just Storage
Zep AI's Graphiti enforces Pydantic schemas on LLM entity extraction, preventing generic label collapse and enabling precise querying of agent memory.
Vibe coding leaves terminal; Google Cloud MCP server goes live
Google Cloud ships first major cloud MCP server, enabling AI agents to directly access Vertex AI, BigQuery, and Cloud Storage. Move validates MCP as standard for AI-to-infrastructure communication.
Wiwynn Shows First SCADA Server: 2.9PB, No CPU for I/O
Wiwynn showed first Nvidia SCADA server at Computex 2026: 2.9 PB storage, 528M IOPS, GPUs bypass CPU for I/O. Marks shift in AI storage architecture.
AI Data Center Demand Could Trigger Grid Battery Boom: Report
AI data center demand could trigger a grid battery boom, per The Electric. Google and others may anchor storage projects, with MIT modeling up to 15% gas peaker displacement by 2030.
Airbnb's Engineering Blueprint for a Petabyte-Scale
Airbnb engineers detail the construction of a massive, internally operated metrics storage system. The system ingests 50 million samples per second, manages 1.3 billion active time series, and stores 2.5 petabytes of data, overcoming challenges in tenancy, shuffle sharding, and observability at scale.
Pinterest's Request-Level Deduplication
Pinterest's engineering blog details 'request-level deduplication,' a critical efficiency technique for modern recommendation systems. By eliminating redundant processing of massive user sequences, they achieve 10-50x storage compression and significant training speedups, while solving novel training challenges like batch correlation.
DualPath Architecture Shatters KV-Cache Bottleneck, Doubling LLM Throughput for AI Agents
Researchers have developed DualPath, a novel architecture that eliminates the KV-cache storage bottleneck in agentic LLM inference. By implementing dual-path loading with RDMA transfers, the system achieves nearly 2× throughput improvements for both offline and online scenarios.
The API Testing Revolution: How AI-Powered Tools Are Challenging Postman's Dominance
Developers are increasingly abandoning Postman for new AI-enhanced API testing tools that prioritize privacy, local-first workflows, and intelligent automation. These alternatives offer login-free experiences, secure local storage, and AI-generated test cases.
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.
Kimi Launches OpenClaw-Powered Workspace: China's Browser-Based AI Revolution
Kimi has unveiled Kimi Claw, a browser-based AI workspace featuring 24/7 operation, 5,000+ community skills, 40GB cloud storage, and native OpenClaw integration. This development represents China's growing influence in accessible, cloud-native AI tools.
LMCache Splits KV Cache From Inference, 14x Faster TTFT on H200s
LMCache separates KV cache management from inference into a dedicated process, achieving 14x faster TTFT on H200s with Qwen3-235B at 50 concurrent users.
NIQ Report: AI Personalization Boosts Retail Revenue 10-30%—Here’s How
NIQ reports AI in personalized shopping boosts retail revenue 10-30% by transforming product discovery via predictive analytics. This matters as retailers seek competitive edge through customer experience.
Anthropic Pays $1.5B in Landmark Copyright Settlement Over Pirated Books
Judge approved Anthropic's $1.5B settlement over 7M pirated books used to train Claude, the largest US copyright payout.
Supermicro's 7,000-lb Double-Wide Rack Targets B300 Memory Squeeze
Supermicro's 7,000-pound double-wide rack targets B300 memory squeeze with denser GPU packing and liquid cooling, announced at Computex 2026.
CacheBlend: 2-4x Faster KV Cache for Multi-Doc Queries
CacheBlend reuses per-document KV caches by recomputing only boundary tokens, achieving 2-4x speedups on multi-document queries. Alibaba data shows 10% of blocks serve 77% of hits.
Strivve Extends 'Top of Wallet' to Agentic Commerce
Strivve extends 'Top of Wallet' to agentic commerce, making the issuer's card the default for AI agent transactions. This addresses a key challenge as AI agents increasingly handle payments, potentially shifting $500B+ in transaction volume by 2028.
Port CEO warns AI-generated 'slop code' is bypassing governance
Port CEO warns AI-generated 'vibe coding slop' bypasses governance. The $17M IDP startup enforces policies on AI-written code.
Claude Code Digest — Jul 07–Jul 10
Claude Code is no longer just a coding assistant — it’s becoming an expensive, permission-sensitive agent runtime where debugging, tool access, and model honesty matter more than raw code generation.
GoldBean MCP Server: Pay Per Call with USDC — No API Keys, No Subscriptions
GoldBean MCP server lets Claude Code call 47 Baidu AI endpoints with per-call USDC micropayments via x402 — no API keys, no subscriptions. Agents pay $0.01-$0.05 per call on Base L2.