AI workflows create, store, and move files. AIOZ Storage... provides the S3-compatible storage layer behind those flows. What this supports: → Persistent storage for inputs & outputs → Shared assets across applications → Storage infrastructure built for growing AI workloadsshow more

Vibe coding apps that require you to store and... manage large files just got easier, with Replit ⠕ App Storage. ✨ My favorite example in this category are any PDF analysis apps: create a fully customized AI synthesizer in just a few prompts. App Storage is Replit's Object Storage solution (like Amazon S3 or Google CS). But don't worry if those words sound foreign to you, Agent will set this up for you automatically if your app needs it. On that note, this Agent capability is just the beginning of our efforts to make building apps with databases and storage easier: 👇show more

The LimeWire Network is now LIVE in Public Beta... 🚀 A decentralized object storage built for enterprise use - fully S3 compatible and easy to migrate from traditional providers like AWS or Google Cloud. Powered as a trustless system built on BNB Chain, LimeWire Network is already handling ~20M uploads every month. Web3 companies & enterprises can now tap into low-latency, cost-efficient storage at scale. Welcome to the next generation of storage 🔗show more

ROBA Compute is our GPU execution layer for robotics.... A distributed infrastructure layer for simulation, training, inference, and autonomous workflows — built for our stack first, then opened to external builders. GPU rental is already a category. The missing layer is robotics-native infrastructure: templates, allocation, benchmarking, and persistent execution for embodied AI. That’s the opportunity. ROBA Compute is designed to become the infrastructure layer where robotics workloads actually run.show more

⚙️ We’re nearing the completion of the Edge Unified... API, a single decentralized interface to access the full power of Edge. | GPUs, Compute, Storage, AI, and more. Built for the future, where robots, agents, and applications tap directly into the Supercloud. Stay tuned! 🔜🦿show more

🚀 4AI x CodexField We’re joining forces with CodexField,... building a full-stack infrastructure for ownership confirmation, permission management, and financialization of content assets in Web3. Together, we’re unlocking: ⚡️Full on-chain ownership ⚡️Built-in revenue for AI & content ⚡️Multi-chain programmable storage Let's build the foundation for a smarter, monetizable creator economy powered by AI and reshape how knowledge lives on-chain.show more

Every time an employee asks AI to summarize months... of emails, analyze a 200-page contract, or answer questions across thousands of project documents, they expect one thing: memory. The AI isn't just responding to the latest prompt. It's recalling context, tracking details, and connecting information across massive amounts of data. Behind that experience is the KV cache, one of the fastest-growing challenges in AI infrastructure. See how memory and storage are enabling longer context, smarter agents, and more powerful AI experiences: #IntelligenceAcceleratedshow more

Open-Source Multi-Sensor Data Platform for Neural 3D Reconstruction and... Physical AI [📍github] It handles cameras, LiDAR, radar, poses, calibrations & labels in one clean format. No more messy custom parsers. • Super efficient (non-redundant storage) • New .itar single-file format with lightning-fast random access • Streams straight from S3/GCS/Azure – perfect for huge datasets • Built-in converters for Waymo, ScanNet++ & more • Already powers NVIDIA NuRec, 3DGRUT & gsplat Saw this at Janick Martinez Esturo, thanks for sharing! Easy to try: • pip install nvidia-ncore • GitHub: • Docs & project page: NCore slashes data wrangling time, cuts storage waste, and makes large-scale neural 3D training faster and simpler than ever. A real standard for physical AI. ——- Weekly robotics and AI insights. Subscribe free:show more

Several 🇪🇺EU countries repurpose their "retired" nuclear and conventional... power plant sites for battery storage projects by utilizing grid infrastructure. Turning a multi-billion-dollar baseload powerhouse into a battery rack just in order to reuse the transmission assets is literally this Simpsons scene.😄show more

A new network is forming. Not just for storage.... Not just for compute. Not just for AI agents. But for a world where intelligence is: distributed, owned, coordinated, and rewarded. If you believe AI should be open, peer-to-peer, and community-powered, this is your signal. Join the movement. Join the network. Build with DRIVE369.show more

Starting a new project today, building an end to... end system to forecast traffic of flights across cities (starting with Mumbai) The idea is to implement > ingestion service with kafka > data etl with polars > feast for feature store // mlflow for model registry > batch inferencing // dashboard > s3 // postgres for data storage All this orchestrated across multiple DAGs built with Airflow. This year has just been Agents and LLMs all along. Not a bad idea to keep revisiting the traditional format :) Will be posting more of this in the coming days, stay tunedshow more

🟢OCY DePIN is Live - The AI Data Storage... DePIN and the Data Module of our infrastructure. After a year+ of hard work, 2.5M community nodes validated, reaching 5 exabytes of data spaces - we are excited to present OCY. 🟩This is a major step towards the Age of AI, unlocking agentic and ai use-cases requiring secure, ai-native, decentralized data infrastructure. OCY will be used within all over modules in the Rivalz Abstraction Layer going forward. Soon we will be announcing a Hackathon for builders to elevate OCY to a new level. Develop Docs - Developer Console -show more

🚀 FULA Launch Party – Join the Celebration! 🧩🎉... 📅 When: 18th March at 7:30 AM ET / 12:30 PM CET 📍 Where: X Space Get ready for an insightful discussion on the future of decentralized storage and AI-powered applications! 🛠️💡 🎤 Speaker: Nico (💻, 🚀) (Streamr Network ) Don’t miss this exclusive event! 🚀✨ #Functionland #FULA #Decentralization #Web3 #AI #CloudStorage #Blockchain #PrivacyTech #Crypto #Event #XSpaces 🧩"show more

🚀 Early Access to Sahara AI Studio is NOW... OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:show more

PackUV: Packed Gaussian UV Maps for 4D Volumetric Video... - PackUV — A new volumetric video representation that packs 3D Gaussian attributes into a sequence of UV atlases for efficient streaming and storage, making it readily compatible with existing video coding infrastructure. - PackUV-GS — An efficient method to fit PackUV directly from multiview videos using optical-flow-based keyframing and Gaussian labeling to handle large motions, disocclusions, and temporal consistency. - PackUV-2B — The largest multi-view 4D dataset with 2B frames, large motions, and disocclusions. It provides 360° coverage from 50+ synchronized cameras.show more

Who likes a nice animation? 🤓🔋 Here you find... out when lithium-ion batteries will be the most competitive for providing peak capacity (PC)... Or when is hydrogen becomes the best for integrating renewables (RE)? Let's walk through the cheapest storage technologies over time. 1⃣ Colours represent the technologies with the lowest lifetime cost. 2⃣ The axes show discharge duration and cycling frequency. They cover the whole spectrum from second-by-second balancing applications (bottom right) up to inter-seasonal storage (top left), and everything in between. 3⃣ Shading indicates how strong the cost advantage is over the second cheapest technology. The evolution of this competitive landscape is based on projected reductions in investment costs over time. These come from statistically-derived which are published in Monetizing Energy Storage: Wonder what it would look like if pumped hydro is not an option? Or where and when a radically new, better technology would fit into this mix? Explore these questions and more on Get in touch if this is of interest!show more