Dell Launches Enhanced AI Data Platform Collaborating with NVIDIA and Elastic for Improved Performance
Dell Technologies has announced significant enhancements to the Dell AI Data Platform, broadening its support for the entire lifecycle of artificial intelligence workloads through new hardware and software collaborations. These updates aim to tackle the challenges enterprises encounter with vast, rapidly expanding, and unstructured data pools, much of which is unsuitable for generative AI applications unless it can be indexed and retrieved in real time. The latest advancements are designed to streamline data ingestion, transformation, retrieval, and computing tasks within enterprise environments. The platform now offers improved automation for data preparation, enabling enterprises to transition more swiftly from experimental phases to production deployment. Its architecture is anchored by specialised storage and data engines that connect AI agents directly to quality enterprise data for analytics and inferencing. The integration of the NVIDIA AI Data Platform reference architecture provides a validated, GPU-accelerated solution that combines storage, compute, networking, and AI software for generative AI workflows.
A key component of the update is the introduction of an unstructured data engine, developed in collaboration with Elastic. This engine equips customers with advanced vector search, semantic retrieval, and hybrid keyword search capabilities, all supported by built-in GPU acceleration for enhanced inferencing and analytics performance. The unstructured data engine works alongside other data tools, including a federated SQL engine for querying structured data, a large-scale processing engine for data transformation, and fast-access AI-ready storage. These tools are designed to convert large, disparate datasets into actionable insights for AI applications. Supporting these software advancements are the new Dell PowerEdge R7725 and R770 servers, which feature NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. Dell claims these air-cooled servers deliver improved price-to-performance for enterprise AI workloads, catering to a diverse range of use cases from data analytics and visual computing to AI inferencing and simulation. The NVIDIA RTX PRO 6000 GPU supports up to six times the token throughput for large language model inference and can handle four times the number of concurrent users compared to the previous generation. The Dell PowerEdge R7725 will be the first 2U server platform to implement the NVIDIA AI Data Platform reference design, allowing organisations to deploy a unified hardware and software solution without the need for in-house architecture and testing.
Categories: AI Data Platform Enhancements, Unstructured Data Management, Server Integration
Tags: Dell AI Data Platform, Artificial Intelligence, Unstructured Data, Data Ingestion, Automation, NVIDIA, Vector Search, Data Transformation, PowerEdge Servers, Generative AI