ObjectScale, Dell's object storage platform, is now available as a software-defined solution on PowerEdge servers, delivering up to eight times faster performance than previous versions, further supporting enterprise AI workloads.

The platform also features integration with NVIDIA cuVS, enabling GPU-accelerated vector search, which improves search performance and deployability for enterprise AI solutions.

The rollout of these platform updates will be phased, starting with Nvidia GPU integration and S3 over RDMA preview in December, followed by the release of the Data Analytics Engine and Search Engine in early 2026.

Key features like Dell PowerScale NVIDIA GB200 and GB300 NVL72 integrations are available now, with ObjectScale's S3 over RDMA, Data Analytics Engine, and Search Engine scheduled for early to mid-2026, ensuring continuous platform evolution.

Support for S3 over RDMA, expected as a tech preview in December, promises significant performance improvements, including up to 230% higher throughput, 80% lower latency, and 98% lower CPU usage.

Dell's platform, part of the Dell AI Factory, is built on four core components: storage engines for data placement, data engines for insights, cyber resiliency, and data management services, creating a scalable foundation for AI workloads.

Dell Technologies has announced significant upgrades to its AI Data Platform, focusing on transforming siloed, distributed data into faster, more reliable AI outcomes. This includes enhancements to its storage engines, PowerScale and ObjectScale, which now offer high performance, security, and multi-protocol access, with recent integrations of NVIDIA GB200 and GB300 NVL72 to boost AI capabilities.

The platform's components are scheduled for availability from December 2025 through the first half of 2026, with ongoing updates aimed at improving AI data handling, processing, and scalability.

Dell is expanding its data engine ecosystem by integrating new tools like the Data Search Engine, developed with Elastic for natural language interaction, and the Data Analytics Engine, created with Starburst for rapid data querying and automation of insights using large language models.

These data engines, developed in collaboration with NVIDIA, Elastic, and Starburst, enhance real-time decision-making by enabling cross-source data querying, natural language data search, and faster insight generation, which are crucial for building RAG applications.

This platform is integrated with NVIDIA's AI Data Platform reference design, emphasizing smart data placement, actionable insights, and resilient data management, all designed to support enterprise AI at scale.

Dell is also enhancing its storage ecosystem with bucket-level compression for AWS S3, improving data storage efficiency and movement for large datasets, which complements its broader AI data platform advancements.