Dell Technologies expands Dell AI Factory

Dell PowerEdge XE9680L server offers direct liquid cooling and eight NVIDIA Blackwell Tensor Core GPUs for fast processing in a compact form factor.

  • 3 weeks ago Posted in

 Dell Technologies expands the Dell AI Factory with NVIDIA to include new server, edge, workstation, solutions and services advancements that speed AI adoption and innovation.

“Organisations are moving quickly to capture the AI opportunity, which is why our collaboration with NVIDIA is so important,” said Michael Dell, founder and CEO, Dell Technologies. “Our expansion of the Dell AI Factory with NVIDIA continues our joint mission – we’re making it easy for organisations to implement AI so they can move boldly into this next technological revolution.”

“Generative AI requires a new type of computing infrastructure – an AI factory that produces intelligence,” said Jensen Huang, founder and CEO, NVIDIA. “Together, NVIDIA and Dell are providing the world’s industries with a full-stack offering – including computing, networking and software – that drives the copilots, coding assistants, virtual customer service agents and industrial digital twins of the digital enterprise.”

Dell AI Factory with NVIDIA transforms data into insights and outcomes

The Dell AI Factory with NVIDIA integrates Dell’s leading AI portfolio with NVIDIA AI Enterprise software platform, underpinned by NVIDIA Tensor Core GPUs, NVIDIA Spectrum-X Ethernet networking fabric and NVIDIA Bluefield DPUs. Customers can purchase integrated capabilities tailored to their needs or pre-validated, full stack

solutions to get them started on AI use cases that require accelerated performance like RAG, model training and inferencing. Advancements to the Dell AI Factory with NVIDIA allow organisations to:

Use advanced compute power to handle large scale AI deployments

• The new Dell PowerEdge XE9680L delivers high performance with support for eight NVIDIA Blackwell GPUs in a smaller 4U form factor. The server provides the highest possible rack-scale density for NVIDIA GPUs in an industry standard x86 rack, offering 33% more GPU density per node.1 The platform offers 20% more PCIe Gen. 5 slots and double the North/South network expansion capacity.2

Direct liquid cooling (DLC) improves overall efficiency with greater cooling capacity for CPUs and GPUs. The PowerEdge XE9680L is designed for easy serviceability and will be available fully configured with advanced factory integration for rack-scale deployments and onsite installation.

Dell is also announcing industry leading density and highly energy efficient turnkey rack-scale solutions that speed time to value for large GPU-accelerated deployments. Multiple variants will be available including an air-cooled design supporting 64 GPUs in a single rack, or a liquid cooled format featuring 72 NVIDIA Blackwell GPUs in a single rack.

Accelerate edge AI application deployment with Dell NativeEdge and NVIDIA

• Dell NativeEdge is the first edge orchestration platform that automates the delivery of NVIDIA AI Enterprise software,3 helping developers and IT operators easily deploy AI applications and solutions at the edge. Businesses from manufacturers to retailers can quickly and accurately analyze their edge data with new Dell NativeEdge deployment blueprints which include NVIDIA Metropolis video analytics, NVIDIA Riva speech and translation capabilities and NVIDIA NIM inference microservices.

Simplify AI application development and deployment for faster time to value

• The new Dell Generative AI Solution for Digital Assistants helps speed deployment of digital assistants that deliver a personalised self-service experience for end users on a full-stack Dell and NVIDIA solution. Implementation Services for Digital Assistants help organisations design, plan, implement, test and scale the solution.

• Dell AI Factory with NVIDIA solutions help organisations quickly stand-up AI environments for a variety of use cases with full stack deployment automation engineered in collaboration with NVIDIA. Full stack automation reduces the time to value by up to 86% compared to doing it yourself.4 When combined with NVIDIA NIM inference microservices, the overall time from delivery to running inferencing jobs is even further reduced. NIM microservices provide enterprise

developers production-ready, optimised inference engines for popular AI models available from NVIDIA and its partner ecosystem.

• New Dell Accelerator Services for RAG on Precision AI Workstations help shorten the AI development cycle and quickly yield better performing AI applications through a tailored large language model using RAG on a Dell Precision workstation with NVIDIA AI Workbench, a development platform to experiment, test, and prototype AI and ML projects in a more secure environment.

“Our research shows that organisations seek IT simplification, but are challenged to achieve it. AI, while promising simplification, brings its own set of complexities including choice, data quality, consistency and security. Having a proven, one-stop shop to help stand up the infrastructure, software and services needed to realise value from AI can reduce risk and lower costs,” said Dave Vellante, chief analyst, theCUBE Research. “Dell’s end-to-end capabilities are a core differentiator that we believe will translate to AI. The Dell AI Factory with NVIDIA is a leading example of an AI solution designed to simplify adoption for emerging AI workloads.”

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