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Apple M5 Ultra

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2

MODELS · 4 SOURCES · Hugging Face · NVIDIA Developer · The Decoder · TechCrunch AI

Meta releases Muse Spark Open — 816B-parameter open-weight multimodal MoE model

Meta published Muse Spark Open, an open-weight mixture-of-experts (MoE) model with ~816 billion parameters (≈42B active per token) that accepts text, images, audio, and video and supports up to a 1,048,576-token context window. Meta says the model is optimized for agentic coding workflows (reading, writing, debugging code and tool calls); checkpoints are available in BF16 (safetensors, ~1.5 TB) and an NVFP4 4-bit format tuned for NVIDIA Blackwell GPUs.

9.0

RESEARCH · 1 SOURCE · Apple Machine Learning Research

MLX enables local and multi‑Mac inference of Muse Spark Open (816B) on Mac Studio

The MLX array framework added Apple Silicon support and demonstrates running frontier LLMs locally and in a distributed setup on Mac Studio. Using the latest MLX release and RDMA over Thunderbolt, a four‑node Mac Studio cluster runs Muse Spark Open (816B, MoE, NVFP4) at >36 tokens/s; smaller models (Qwen 3.8 and Mistral Medium 3.5) can fit on a single 512GB Mac Studio. Benchmarks with mlx_lm.benchmark report up to 4.6× faster time‑to‑first‑token and ~1.6× higher tokens/s on M5 Ultra versus M3 Ultra, and modest peak power (~200–300W) for inference.

7.0