DeepSeek V4 Flash
A lighter, faster sibling in the DeepSeek V4 family. At 284 billion parameters it needs well under half the memory of GLM-5.x, which is why it's the model to reach for when a single 8-GPU server should be enough.
What "parameters" means
A parameter is one small number the model adjusted while it was trained — roughly, one tiny piece of learned knowledge. DeepSeek V4 Flash has 284 billion of them. Every single one has to be stored somewhere the GPU can read it instantly while the model is running, which is why parameter count translates almost directly into how much GPU memory you need.
The memory math
Why the extra 20%? Running a model needs more than just the raw parameters sitting in memory — there's working room for the active computation, the prompt/response in flight, and normal overhead. Buying exactly the raw amount leaves no room and the model can crash or slow to a crawl under real use, so we always add 20% before recommending hardware.
Minimum hardware build that can run it
1× NVIDIA H100 SXM Server (8-GPU)
- Total GPU memory: 640 GB (needs ≥ 341 GB — this build clears it)
- Total power draw: 10200 W — about 8.5 homes, 245 kWh/day, 2.7 EV batteries/day
- Total price: $300,000