Dell Technologies Unveils AI Rack Systems for High-Density Computing

Dell Technologies introduces new integrated rack-scalable systems, server, storage and data management innovations to the Dell AI Factory, powering high density computing and AI workloads at scale.

“The Dell AI Factory is at the forefront of AI datacenter transformation. Dell Technologies' latest solutions, from liquid cooling to high-density compute, offer Indian businesses the power and flexibility to tackle complex AI workloads. These advancements ensure that organizations can scale efficiently, reduce energy consumption, and stay ahead in a dynamic, competitive market, all while building a more sustainable data infrastructure for the future,” said Anil Sethi, Vice President, Infrastructure Solutions Group, Dell Technologies India. 

The future of accelerated compute with leading cooling innovations

The Dell Integrated Rack 7000 (IR7000) handles accelerated computing demands with superior density, more sustainable power management and advanced cooling technologies. This Open Compute Project (OCP) standards-based rack is ideal for large-scale deployment and features a futureproof design for multigeneration and heterogenous technology environments. 

Key features include:

• Designed for density, the 21-inch Dell IR7000 is designed to support industry-leading CPU and GPU density. 

• Future-ready and efficient, the rack features wider, taller server sleds to accommodate the latest, larger CPU and GPU architectures. This rack was purpose built for liquid cooling natively, capable of cooling future deployments of up to 480KW, and is able to capture nearly 100% of heat created.  

• Engineered for greater choice and flexibility, this integrated rack offers support for both Dell and off-the-shelf networking. 

• Deployments are simple and energy-efficient with Dell Integrated Rack Scalable Systems (IRSS). IRSS delivers innovative rack-scale infrastructure optimized for AI workloads, making the setup process seamless and efficient with a fully integrated plug-and-play rack scale system.

Dell Technologies introduces AI-ready platforms designed for the Dell IR7000:

• Part of the Dell AI Factory with NVIDIA, the Dell PowerEdge XE9712 offers high-performance, dense acceleration for LLM training and real-time inferencing of large-scale AI deployments. Designed for industry-leading GPU density with NVIDIA GB200 NVL72, this platform connects up to 36 NVIDIA Grace CPUs with 72 NVIDIA Blackwell GPUs in a rack-scale design. The 72 GPU NVLink domain acts as a single GPU for up to 30x faster real-time trillion-parameter LLM inferencing. The liquid cooled NVIDIA GB200 NVL72 is up to 25x more efficient than the air-cooled NVIDIA H100-powered systems. 

• The Dell PowerEdge M7725 provides high performance dense compute ideal for research, government, fintech and higher education environments. Designed to be deployed in the IR7000 rack, the Dell PowerEdge M7725 delivers more compute with improved serviceability scaling between 24K-27K cores per rack, with 64 or 72 two socket nodes, powered by 5th Gen AMD EPYC CPUs Front IO slots enables high speed IO connectivity and provides seamless connectivity for demanding applications. The server’s energy-efficient form factor allows for more sustainable deployments through both direct liquid cooling (DLC) to CPUs and air cooling via quick connect to the integrated rack.

Unstructured storage and data management innovations for the AI era

Dell Technologies unstructured data storage portfolio innovations improve AI application performance and deliver simplified global data management.  

Dell PowerScale, the world’s first Ethernet storage certified for NVIDIA DGX SuperPOD, delivers new updates that enhance data management strategies, improve workload performance and offer greater support for AI workloads.1 

• Enhanced discoverability: Unlock data insights for faster smarter decision-making using PowerScale metadata and the Dell Data Lakehouse. A forthcoming Dell open-source document loader for NVIDIA NeMo services and RAG frameworks is designed to help customers improve data ingestion time and decrease compute and GPU cost.     

• Denser storage: Customers can fine tune their AI models by training them on larger datasets with new 61TB drives that increase capacity and efficiency while reducing data center storage footprint by half.2 

• Improved AI performance: AI workload performance is enhanced through front-end NVIDIA InfiniBand capabilities and 200GbE Ethernet adapter support that delivers up to 63% faster throughput.3  

With new enhancements to the Dell Data Lakehouse data management platform, customers can save time and improve operations with new features like disaster recovery, automated schema discovery, comprehensive management APIs, and self-service full stack upgrades. 

Customers can simplify their data-driven journey and quickly scale their AI and business use cases with Optimization Services for Data Cataloging and Implementation Services for Data Pipelines. These services increase accessibility to high-quality data through discovery, organization, automation and integration.

Dell Generative AI Solutions with Intel for modern workflows

As part of the Dell AI Factory, Dell Generative AI Solutions with Intel offers jointly engineered, tested and validated platforms for seamless AI deployment. Featuring the Dell PowerEdge XE9680 and Intel ® Gaudi 3 ® AI accelerators with Dell storage, networking, services and an open-source software stack, these preconfigured, flexible and high performing solutions support a range of GenAI use cases including content creation, digital assistants, design and data creation, code generation and more.

Availability

• The Dell IR7000 will be globally available Q1 CY2025.

• The Dell PowerEdge XE9712 is sampling for select customers now.

• The Dell PowerEdge M7725 will be globally available Q1 CY2025.

• Dell PowerScale updates will be available in Q4 CY2024.

• Dell Data Lakehouse updates will be available in 1H CY2025.

• Dell Generative AI Solutions with Intel will be available in Q4 CY2024.