Dell’s new Enterprise Hub streamlines on-premises AI development

Dell Enterprise Hub is rapidly evolving into a comprehensive platform for on-premises AI deployment, offering organizations the ability to implement advanced AI capabilities within their own infrastructure. The platform’s expansion to support multiple hardware accelerators, edge devices, and ready-to-deploy applications signals a significant shift toward making enterprise AI more accessible and manageable. This development addresses growing demand for private AI solutions that allow businesses to maintain control over their data while leveraging cutting-edge models.

The big picture: Dell Enterprise Hub now provides a one-stop solution for deploying, training, and running AI models and applications entirely on-premises with support for multiple hardware accelerators.

Key features: The platform offers pre-configured, optimized containers of popular AI models that are ready for immediate deployment on Dell AI Server platforms.

• Meta Llama 4 Maverick, DeepSeek R1, and Google Gemma 3 are among the available models that can be deployed with minimal configuration.
• Dell works closely with its CTIO and Engineering teams to rapidly make new models available—Llama 4 models were available on the Hub within one hour of their public release by Meta.

Hardware versatility: Dell Enterprise Hub distinguishes itself as the only platform offering deployment solutions across all major AI accelerator hardware platforms.

• The platform supports NVIDIA H100 and H200 GPU-powered Dell servers.
• AMD MI300X and Intel Gaudi 3 powered Dell platforms are also supported, providing flexibility for organizations with different hardware preferences.

Application deployment: Beyond models, Dell has expanded to offering ready-to-deploy AI applications that run entirely within an organization’s private network.

• The new Application Catalog includes open-source applications like OpenWebUI and AnythingLLM.
• These applications enable organizations to build chatbots and agentic assistants that can connect to internal data and services through MCP (Model Control Plane).

Edge computing capabilities: The platform now extends support to Dell AI PCs, enabling on-device AI processing for specific use cases.

• Models for speech transcription (OpenAI Whisper), chat assistants (Microsoft Phi and Qwen 2.5), image upscaling, and embedding generation can run directly on Dell AI PCs.

Developer tools: Dell has introduced an open-source library with Python SDK and Command Line Interface for programmatic control of the Enterprise Hub.

• The new dell-ai library can be installed via pip, allowing developers to integrate Dell Enterprise Hub functionality directly into their code or command line workflows.