๐Ÿ–ฅ๏ธ Asel's AI Hardware Store NVIDIA GEAR
Apache 2.0 ยท Open Source

Qwen3.5-397B-A17B

A mixture-of-experts model: 397 billion parameters live in memory, but only 17 billion "activate" per response โ€” which is why it runs faster than its size suggests.

๐Ÿ“Š Arena.ai Text Leaderboard, rank ~60, Elo 1443 โ€” filtered to Open Source models.  ยท  source

The memory math

parameters      = 397 billion
× 1 GB per billion   = 397 GB (raw weight size)
× 1.2 (20% working room for the model to actually run, not just sit in storage)
                         = 476.4 GB minimum memory needed
Why the 20% headroom? A model doesn't just sit in memory โ€” while it's answering you, it needs extra scratch space to hold the conversation so far and its in-progress calculations. Buy exactly the raw size and it will crash under real use.

Two ways to get there

Option B

1ร— NVIDIA DGX B200$515,410
Total memory1,440 GB
Total power14.3 kW
Total price$515,410

One DGX B200 has far more memory (1,440 GB) than this model needs, but it's a real NVLink-integrated system โ€” faster and simpler to run, for about 8x the price.

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What that power means

๐Ÿ 
Running the recommended build 24/7 draws roughly 2.5 average homes' worth of continuous power.
๐Ÿ”‹
One hour of running it uses about 3.3% of a typical 90 kWh electric-car battery.