Question 1

Can I run Snowflake Arctic Embed L on a Apple M3 Max?

Accepted Answer

Yes — Apple M3 Max runs Snowflake Arctic Embed L fully on GPU at the FP16 quantization. Full GPU inference — 128 GB VRAM meets the 2 GB recommendation.

Question 2

What quantization of Snowflake Arctic Embed L should I use on a Apple M3 Max?

Accepted Answer

For 128 GB VRAM on the Apple M3 Max, the FP16 variant is the best fit. Estimated ~597 tokens/sec on the FP16 quantization.

Question 3

How fast does Snowflake Arctic Embed L run on Apple M3 Max?

Accepted Answer

Roughly 597 tokens/sec for FP16. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Apple M3 Max is not enough for Snowflake Arctic Embed L?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Can I Run Snowflake Arctic Embed L on Apple M3 Max?

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Every Snowflake Arctic Embed L quantization on Apple M3 Max