Meta has released Muse Glimmer, a 30B open-weight dense model with a 120K+ context window, designed for local AI agentic work. Optimized for NVIDIA edge, desktop, and workstation platforms, it delivers 20K tokens/sec on a single GPU, enabling always-on agents to process data locally and execute complex, multi-step workflows. Unlike chat-optimized LLMs, Muse Glimmer uses a dense architecture that activates every parameter per token, with no routing or expert selection, excelling at reliable instruction following, long-context coherence, predictable latency, and fewer failure modes. The model is built for privacy, fitting within the VRAM of a single NVIDIA GPU without sharding, CPU offloading, or external endpoints. NVIDIA Tensor Core architecture accelerates real-time agentic inference fully on device at full context length. Specific hardware support includes the NVIDIA GeForce RTX 5090 with 32 GB of VRAM and fifth-generation Tensor Cores for local developer devices, NVIDIA DGX Spark for workstation-class performance, NVIDIA NVLink for high-speed memory access, and NVIDIA NIM containers for one-command deployment. NVIDIA DGX Station brings rack-scale Blackwell Ultra compute to on-prem enterprise environments under air-gap mandates, while NVIDIA Jetson extends inference to the edge for robotics and industrial automation. On NVIDIA Blackwell Ultra, Muse Glimmer delivers over 20K tokens/sec/GPU at BF16/NVF4 precision.