Unverified50% confidenceFactExact time
The Mac Studio is configured with an M3 Ultra chip and 96GB of unified memory, leaving more than 30GB to simultaneously run Immich, Nextcloud and a Kubernetes cluster.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedThe blogger ran Gemma 3 12B with no difficulty on a Mac Mini with 16 GB of RAM and an M2 Pro chip.80% similarVerifiedAfter 4-bit quantization, Llama 3.3 70B has a model size of approximately 40 GB and can run on a Mac Studio with 64 GB of memory or a single professional GPU with 48 GB of VRAM.78% similarUnverifiedLocal inference is constrained by the user's hardware: a 7B-parameter quantized model (such as the Q4 version of Llama 3 8B) has a file size of approximately 4–5 GB, can reach 20–40 tokens per second on a Mac with an Apple M-series chip, and may drop to 3–5 tokens per second on a laptop with only an integrated GPU and 8 GB of RAM.76% similarUnverifiedEarly versions of Hishob ran on a 6GB mini PC using a small 3B model; the hardware was later upgraded to a Mac Studio (M3 Ultra, 96GB unified memory) running the Qwen3.5-122B-A10B model locally.75% similarUnverifiedMac users should note: rapid-mlx reports that the M3 Ultra measured a peak of 72.7 GB at 1K context, while also stating that 96 GB Macs have not been verified and that image input and MTP are not enabled; to use vision capabilities on a Mac, you need to go through llama.cpp with an mmproj file.75% similar
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