What is the biggest model the RTX Pro 6000 Blackwell can run?

gpt-oss 120B, which needs about 67 GB, on the 96 GB version at about 220 tok/s.

What is the biggest model the Apple M1 Ultra can run?

gpt-oss 120B, which needs about 67 GB, on the 128 GB version at about 97 tok/s.

RTX Pro 6000 Blackwell vs Apple M1 Ultra for local AI

Both fit the same models we track, up to gpt-oss 120B. The RTX Pro 6000 Blackwell generates about 2.2× as fast on any model both can run, because it has 1792 GB/s of memory bandwidth to the Apple M1 Ultra's 800 GB/s.

The numbers that matter

Memory and bandwidth

Memory decides which models fit. Bandwidth decides how fast they generate, because every token reads the model's active weights once.

	RTX Pro 6000 Blackwell	Apple M1 Ultra
Memory	96 GB VRAM	64 or 128 GB unified memory
Usable for models	All 96 GB	About 96 GB of 128 GB
Bandwidth	1792 GB/s	800 GB/s
Biggest model that fits	gpt-oss 120B	gpt-oss 120B
Best everyday pick	gpt-oss 120B, ~220 tok/s	gpt-oss 120B, ~97 tok/s

Model by model

Every model, side by side

Estimated generation speed at the largest memory size each was sold in (96 GB and 128 GB).

Model	RTX Pro 6000 Blackwell	Apple M1 Ultra
Qwen3 4B About 4 GB	~390 tok/s Runs great	~180 tok/s Runs great
Qwen3 8B About 7 GB	~190 tok/s Runs great	~85 tok/s Runs great
Gemma 3 12B About 10 GB	~120 tok/s Runs great	~54 tok/s Runs great
Qwen3 14B About 11 GB	~110 tok/s Runs great	~47 tok/s Runs great
gpt-oss 20B About 16 GB	~310 tok/s Runs great	~140 tok/s Runs great
Gemma 3 27B About 19 GB	~58 tok/s Runs great	~26 tok/s Usable
Qwen3 30B-A3B About 21 GB	~310 tok/s Runs great	~140 tok/s Runs great
Qwen3 32B About 22 GB	~49 tok/s Runs great	~22 tok/s Usable
Llama 3.3 70B About 45 GB	~23 tok/s Usable	~10 tok/s Usable
gpt-oss 120B About 67 GB	~220 tok/s Runs great	~97 tok/s Runs great
Qwen3 235B-A22B About 144 GB	Needs 144 GB	Needs 144 GB
DeepSeek R1 671B About 406 GB	Needs 406 GB	Needs 406 GB

Which should you get?

The RTX Pro 6000 Blackwell, for speed. They fit the same models. Price matters as much as either number: check used prices on the builds page, where every parts list has a measured or estimated speed.

How we estimate

Both columns use the same formula: memory bandwidth divided by the weights read per token, calibrated on our own rack, with Ollama's default 4-bit sizes. Real results are usually within about a third. Measured either one? Send us the number.

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