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Hardware comparison

NVIDIA RTX Pro 6000 Blackwell (96GB) vs AMD RX 9070 (16GB) for local LLMs

How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 69 tracked models each one can run.

Scroll sideways to compare both machines. Keyboard: focus the table, then use the arrow keys. Metric names stay visible.

NVIDIA RTX Pro 6000 Blackwell (96GB) compared with AMD RX 9070 (16GB) for local LLM inference
HardwareNVIDIA RTX Pro 6000 Blackwell (96GB)AMD RX 9070 (16GB)
Memory96.0 GB (better for this comparison)16.0 GB
Bandwidth1792 GB/s (better for this comparison)645 GB/s
Price (approx)$12,999GPU only · host PC required, sold separately$569 (better for this comparison)GPU only · host PC required, sold separately
LLMs it runs62 of 69 (better for this comparison)48 of 69
Best model it runsGemma 4 31BFP16 · estimated 20–30 tok/sGemma 4 31BQ2_K · estimated 33–50 tok/s

Both prices cover GPU cards only. A host PC is required and its cost is excluded. Prices are approximate catalog estimates; check current configurations and prices before buying.

The recommended quants differ. These estimated speeds are not a like-for-like comparison. Estimates use 4,096 context tokens, llama.cpp and one stream.

The NVIDIA RTX Pro 6000 Blackwell (96GB) runs 14 more of the tracked models (62 vs 48), thanks to its 96.0 GB of memory. The NVIDIA RTX Pro 6000 Blackwell (96GB) has more memory bandwidth (1792 GB/s). Higher bandwidth can help generation speed, but model, quant, architecture and runtime also affect the estimates.

What the NVIDIA RTX Pro 6000 Blackwell (96GB) runs →What the AMD RX 9070 (16GB) runs →Open the calculator →