Verified70% confidenceFactTime unknown
A Mac Studio M4 Ultra equipped with 192 GB of unified memory can theoretically run complete 70B or even larger parameter models.
4
Sources
70%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Ollama完全指南：一行命令本地运行DeepSeek等大模型
githubollama
Related Entities
Related Claims
VerifiedMac Studio models equipped with M2 Ultra or M3 Ultra chips can be configured with up to 192GB of unified memory, with the CPU and GPU sharing the same memory pool.80% similarUnverifiedAn M4 Max with 128GB unified memory can directly hold large model weights79% similarVerifiedThe Apple M2 Ultra supports up to 192 GB of unified memory, theoretically enabling the direct running of large models with tens of billions of parameters.79% similarUnverifiedFor undergraduate-level AI coursework, an M5 MacBook Pro with 24GB memory and 1TB storage is more than sufficient for tasks such as writing code, running small-scale experiments, and data preprocessing.77% similarUnverifiedThe 4-bit quantized GGUF format version of llama.cpp enables the Llama 3.1 70B model to run on an Apple M2 Ultra with 64GB unified memory at an inference speed of approximately 20–30 tokens/second.77% similar
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