New MLPerf® Storage v3.0 results are in! Nebius Object Storage fed 768 simulated B200 accelerators on RetinaNet, the highest accelerator count of any submission in this round. Get the full breakdown: #MLPerf# #AI# #ObjectStorage#

What does it take to run object storage without a single traditional server? Garage is a lightweight, S3-compatible object store. Using Acurast Cargo, it runs entirely on decentralized compute. Same S3 API. No servers to manage. Try it out yourself:

Cloudflare K2 is a serverless event streaming service built directly on top of R2 object storage for high-scale data movement and long-term retention. By decoupling producers and consumers at the edge, K2 enables durable, ordered log streams without the operational overhead of traditional broker clusters. #BirthdayWeek#

Just listed: one open-format lakehouse, move-in ready for your agents. Open formats, Parquet on object storage, ACID transactions, snapshots you can revisit, and a schema that evolves with you. Storage and compute are billed separately. Utilities not included. The open house is Nov. 4 at Data Outpost, where @__AlexMonahan__ (MotherDuck) and Matt Martin (State Farm) are running "Lakehouses for Robots: Scaling DuckLake and Iceberg for Agent Workloads." You'll query Iceberg and DuckLake from @DuckDB and MotherDuck with the agent of your choice, and learn to get the most out of your local laptop so you can build faster. Performance tuning and agent compartmentalization keep your agents' answers quick and safe. Whether you're new to lakehouses or a seasoned expert, you'll leave with a working lakehouse example. Bring a laptop. 🎟️ Tickets:

World models have a hidden infrastructure cost : retaining enormous video datasets. The answer may look surprisingly old school : NVMe for active data. Object storage for warm datasets. Tape for rarely accessed footage 💾 Could a 75-year old technology become core AI infrastructure ?

Loop is now so good at detecting patterns that we're using it to optimize Brainstore. We pipe all of our query plans into Braintrust and found a bunch of low-level optimizations, eg a spot in our regex code where we were over-fetching duplicate ranges from object storage.

Today we're launching Agent Bucket: native storage for AI agents at scale. Standard S3 API, so you spin up independent space for billions of agents with tools you already know. Object storage was not built for agents. One bucket each hits limits fast. One shared bucket pushes isolation into your app code. So we rebuilt the foundation. → Independent space at scale. Each agent gets its own Space, with dedicated credentials, quota, and rate limits. Isolation becomes a system capability, not app code. → File management out of the box. Dedup, POSIX semantics, multimodal search, sharing links, recycle bin, content moderation. All at the storage layer. → Fast and low cost. GooseFS acceleration keeps hot data close to compute, with hot and cold tiering to balance speed against cost. → Proven at scale. Already running inside Tencent's own agents WorkBuddy, QClaw, and across external use cases such as Asus AI-PC drives, connected cars.

We’re introducing Backup and Restore for OCI Cache. A new capability that allows customers to: ✅ Create on-demand snapshot backups of cache data ✅ Retain backups in OCI Cache for up to 35 days ✅ Export backups to customer-owned OCI Object Storage ✅ Restore backups into a new cache cluster from either OCI Cache or Object Storage