DGX Spark, Mac Studio, or Ryzen AI Max?

By Web Asset House · data reviewed 2026-10-22

Compare an exact configuration, not a product-family headline. These systems combine different processors, memory designs, and software backends. The table uses maker specifications from the dataset; it does not claim equivalent inference performance or hands-on testing.

Read the memory figure carefully

Installed memory, GPU-addressable memory, and the amount left after system reservations are different quantities. Our default usable-memory fraction makes the reservation visible. Firmware and driver allocation limits still need verification on the exact machine.

Do not compare peak compute to token generation

A peak AI-operations figure and an autoregressive generation benchmark measure different things. Our speed estimate is a bandwidth proxy at batch size one. It does not predict prompt-processing throughput, training, image generation, or simultaneous users.

Choose the software first

Verify that your intended model and quantization run on the platform’s supported backend. Manufacturer benchmark formats such as FP4 and FP8 should not be treated as interchangeable with a recorded GGUF Q4_K_M file. See the methodology for published benchmark context and estimator limitations.

Primary sources

• Ollama: memory, context, local and cloud behavior ↗
• llama.cpp: supported build backends ↗
• Hugging Face: GGUF documentation ↗

Questions, answered.