Deploying Muse Glimmer on Dell Pro Precision

• • Dell and Meta are partnering to support Muse Glimmer, an open-weight agentic AI model built for autonomous, local-first operation under an Apache 2.0 license.
  • Unlike conversational models, Muse Glimmer reasons, plans, uses tools and executes multi-stage tasks across applications and environments — with data that never leaves your machine.
  • Dell Pro Precision workstations and the Dell Pro Max with GB10 provide the purpose-built hardware foundation for deploying and scaling Muse Glimmer locally, available now on Dell Enterprise Hub.

At Dell, we have always believed that open source is not a niche philosophy. It is the foundation of everything developers build, ship and scale. As a key member of the American Open-Source Alliance, Dell supports transparent, community-driven software development. Open source means trust. It means developers can audit and validate what they are deploying, teams can innovate with full commercial flexibility and enterprises can run AI workloads without sending their data to someone else’s cloud.

We have backed that belief with investments across our AI portfolio. In partnership with Meta, we are excited to support Muse Glimmer, a new open-weight agentic model designed for the next generation of autonomous AI applications.

Introducing Muse Glimmer: An open model built for agentic workflows

Muse Glimmer is the next open-weight AI model built by Meta Superintelligence Labs, built for autonomous, local-first operation. With an Apache 2.0 license, it gives developers the freedom to download, verify, modify and ship the model without gated APIs, surprise billing costs or restrictive licensing terms.

But openness alone is not enough. Any modern AI model must do more than answer questions. It needs to act. Muse Glimmer is designed specifically for agentic workloads and personal AI assistants, powering experience through frameworks such as OpenClaw, NemoClaw, OpenCode and other agent ecosystems. And instead of focusing only on conversation, Muse Glimmer is built to reason, plan, use tools and execute real-world tasks across different applications and environments.

Here is what it delivers:

An agentic model that executes

Muse Glimmer is not a chatbot wearing a tool-use costume. It orchestrates long chains of actions and multiple sequential tool calls in a single session. This helps agents tackle complex, multi-stage work that calls for planning, decision-making and interaction across multiple systems such as spinning infrastructure, running CI/CD test suites or triaging production incidents end to end. Muse Glimmer is also engineered for persistence and reliability. It can recover from failures, handle long contexts and reason over multiple turns. As a result, agents built on Muse Glimmer can operate for hours or even days, making progress toward long-running goals without requiring constant human supervision. This approach makes Muse Glimmer particularly well-suited for personal agent applications that need to work alongside users throughout the day. Whether assisting with productivity tasks, managing workflows or supporting development environments, the model is designed to serve as a capable local AI collaborator. Additionally, the model’s strong reasoning and planning capabilities create interesting opportunities for software development workflows.

Sees what you see

Muse Glimmer natively understands images in addition to text. Paste a screenshot of an IDE error or an image of a PDF document — it interprets visual input with the same depth as text. That means developers can troubleshoot and debug issues by showing instead of describing them, QA teams can automate visual regression testing from recorded sessions, and content creators can analyze product photos, screenshots, presentations or meeting clips, while keeping data local and entirely on device.

Built for real-world agent applications

Local data handling

The Muse Glimmer model has been trained with guardrails baked in to support responsible deployment and safer operation when agents interact with tools, external systems and untrusted inputs.

Muse Glimmer runs locally, so data never leaves your machine. For startups developing locally deployed AI products and enterprises keeping workloads on-prem, these capabilities are now increasingly becoming table stakes, rather than default. And with Muse Glimmer, you get it by default.

Run Muse Glimmer on Dell Pro Precision

As more labs bring new AI models to market, one thing is becoming clear: model innovation alone is not enough. Customers also need the right infrastructure to build, evaluate and run AI where the work actually happens.

For a 30B parameter dense model, that conversation should start with hardware purpose-built for demanding professional workloads and designed to scale from individual development and experimentation to broader deployment.

As the #1 workstation brand in the world, Dell Pro Precision high-performance workstations & AI accelerator portfolio are designed to support agentic AI workloads wherever they make the most economic and operational sense. That leadership matters because AI development is rapidly converging with the performance-intensive workflows that workstations have long supported, including CAD, 3D rendering, simulation, visualization and now local AI inferencing.

For customers who want a true workstation platform for local AI development, Dell Pro Precision 9 T2 is a powerful starting point. This workstation gives customers a trusted, ISV-certified platform engineered for sustained performance, reliability and expandability across complex design, engineering and AI workflows.

For organizations introducing a 30B model such as Muse Glimmer, that means moving beyond experimentation on commodity hardware and onto a platform built for real development cycles, larger datasets, richer inference tasks and future growth.

Complementing the T2 is the Dell Pro Max with GB10, a compact, high-performance AI development accelerator that brings significant AI capability to the desk or edge. Featuring 128GB of unified memory and support for up to 200B-parameter models on a single system, the Dell Pro Max with GB10 is well suited for individual developers and small teams building, testing and refining autonomous agents locally on 30B parameter models.

Get started on Dell Enterprise Hub

Dell Enterprise Hub on Hugging Face (DEH) simplifies on-prem model deployment by providing optimized model packages and deployment workflows across Dell platforms. Muse Glimmer is available on DEH with optimized deployment configurations for Dell AI PCs, workstations and Dell PowerEdge server platforms. You can deploy the model easily through the commands provided on the DEH deploy page and get started with local agent development and evaluation. Start building your own local AI agents with Muse Glimmer today.