RTX 5090 vs M5 Ultra: Which AI Powerhouse Wins?

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Apple's M5 Ultra Mac Studio is shipping, so here is how it compares to NVIDIA's RTX 5090 for running AI models locally. wTopics covered: - M5 Ultra vs RTX 5090 specs for local LLMs - Qwen3.8-27B benchmark: prompt processing and token generation - Multi-token prediction (MTP) speedups - 32 GB VRAM vs 256 GB unified memory - Tokens per second \= bandwidth / model size Resources: - Qwen3.8-27B: [https\://huggingface.co/Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) - RTX 5090 llama.cpp runs of Qwen3.8-27B Q4\_K\_M: [https\://huggingface.co/Qwen/Qwen3.8-27B/discussions/112](https://huggingface.co/Qwen/Qwen3.8-27B/discussions/112) - MacStories M5 Ultra review (same prompts on both machines): [https\://www\.macstories.net/stories/m5-ultra-mac-studio-review-the-dream-mac-for-local-ai-agents/](https://www.macstories.net/stories/m5-ultra-mac-studio-review-the-dream-mac-for-local-ai-agents/) Chapters: 0:00 Intro 0:19 The spec sheet 1:20 Same model, head to head 2:25 Memory: 32 GB vs 256 GB 2:41 What to take away

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