Object storage stories
Enterprises could cut AI data-handling overhead as the storage group adds native analytics, governed model access and faster object storage to VSP One.
Higher flash prices are pushing organisations to squeeze more life from existing systems before spending on new storage hardware.
The move gives organisations a separate recovery path for analytics and AI data, after attacks on cloud backups and identity systems have risen.
Streaming providers could cut congestion and transfer costs as Oracle customers gain dedicated access to Netskrt’s network for high-demand events.
The deal would extend Dropbox beyond file sharing as it races to meet rising demand for storage underpinning AI applications.
Teams can now analyse images, video and documents in BigQuery without moving them out of Cloud Storage, cutting context loss and extra pipelines.
Developers can now provision object, analytics and vector storage from Vercel without leaving the platform, with AWS billing unchanged.
Smaller sites can now run AI and storage together more cheaply, as the new version targets remote offices and on-premises deployments.
BigQuery users could cut data movement and pipeline lag as Google Cloud adds federated access to Iceberg tables in Databricks, Snowflake and AWS.
The deployment should let DeepL's researchers work on larger language models and real-time voice translation with less manual data movement.
Engineering teams can now search logs far faster as AI systems flood observability stacks with more telemetry and query demands.
Many managed service providers are watching backup revenue slip as hidden cloud fees and vendor price changes squeeze storage margins.
Enterprises could get more dependable AI agents as Dell's update ties internal data to context, governance and faster processing inside customer systems.
The new features aim to help enterprises govern data better and move AI agents into production while keeping sensitive records in their own data centres.
The new service could cut analytics costs for firms hit by egress fees and the need to run separate storage and query systems.
The new software aims to curb token waste and improve answer quality as enterprises connect AI models to sprawling, unstructured file stores.
The service aims to cut storage overheads for firms running thousands of AI agents, while keeping workspaces isolated and quick to spin up.
Security teams could keep more logs for longer as Imply says its Lumi platform will cut storage costs and support AI-led investigations.
Security teams can now query older telemetry in place, cutting storage costs and avoiding data moves before investigations.
AI teams could cut integration work as the firms pair fast-access storage with lower-cost capacity for training, checkpoints and inference.