Cloud Storage stories
The launch targets firms struggling to keep AI projects fed with clean, unified data as fragmented storage can leave GPUs idle.
The system is aimed at enterprises seeking S3-compatible storage that cuts flash use, lowers cloud fees and hardens data against ransomware.
French organisations deploying AI workloads will now get local sales and French-language support as Scality takes the front line for WEKA's joint stack.
Most organisations must upgrade their systems to run agentic AI in production, as cloud costs, governance and energy use climb.
Enterprises can now buy and register third-party AI agents through Google Cloud Marketplace for use inside Gemini Enterprise.
Employees are losing more than 12 hours a year to oversized PDFs, with most firms lacking policies to curb storage waste and workflow delays.
The approach could cut token use and errors as developers build more complex multi-agent workflows with changing schemas.
Audited feedback has lifted Nasuni's customer-service standing, with a 98% CSAT score and top G2 placements across 15 categories.
Benchmark tests show Managed Lustre can cut AI inference costs by more than half, easing GPU demand for long-context model serving.
The release aims to ease a key hurdle for firms moving AI agents into production by unifying memory, retrieval and access across environments.
European firms can now keep sensitive data local while using cloud-style storage for AI and disaster recovery under the new platform.
The integrations let teams pull Dropbox files into Anthropic's AI tools and save outputs back, reducing app-switching and lost context.
Enterprises face mounting pressure to govern unstructured data for AI, after GigaOm again ranked Hitachi Vantara as a leader and fast mover.
Partners can now measure and offset storage-related emissions as cloud providers face mounting scrutiny over AI-driven infrastructure use.
Customers can now lower disaster-recovery costs while keeping backup copies outside the source region to meet outage and residency needs.
AI and HPC users could cut storage costs as WD's new designs shift colder data to hard drives while keeping active workloads on NVMe.
Enterprises can now query file-based data in Snowflake and Databricks without first moving petabytes into a lakehouse, cutting AI prep delays.
Exaba's local cloud storage pitch could give US managed services providers higher margins as it challenges AWS and Azure in a crowded market.
The preview could help businesses adopt office AI without exposing sensitive data, as search and automation run locally under encryption.
Enterprise users can now feed governed file content into automated and AI workflows without custom code, reducing engineering overhead.
