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NVIDIA H100 PCIe 80GB
Runs downloadable LLMs up to ~123.5B at Q4, ~325.9-388.4 tok/s on an 8B model.
What you can run
At 8k context, FP16 KV. Full-speed tok/s holds up to "max ctx"; beyond it the context spills to system RAM (CPU/PCIe offload) and drops to the degraded figure.
| Model size | FP16 | Q8 | Q4 |
|---|---|---|---|
| 3B |
243.3-290 t/s ≤1009k ctx · then ~4.9-5.8 (slow) |
486.7-580 t/s ≤1054k ctx · then ~9.7-11.6 (slow) |
869-1035.7 t/s ≤1075k ctx · then ~17.4-20.7 (slow) |
| 7-8B |
91.3-108.8 t/s ≤428k ctx · then ~1.8-2.2 (slow) |
182.5-217.5 t/s ≤489k ctx · then ~3.7-4.4 (slow) |
325.9-388.4 t/s ≤516k ctx · then ~6.5-7.8 (slow) |
| 13B |
56.2-66.9 t/s ≤281k ctx · then ~1.1-1.3 (slow) |
112.3-133.8 t/s ≤361k ctx · then ~2.2-2.7 (slow) |
200.5-239 t/s ≤396k ctx · then ~4-4.8 (slow) |
| 32B |
22.8-27.2 t/s ≤31k ctx · then ~0.5-0.5 (slow) |
45.6-54.4 t/s ≤153k ctx · then ~0.9-1.1 (slow) |
81.5-97.1 t/s ≤207k ctx · then ~1.6-1.9 (slow) |
| 70B | won't run |
20.9-24.9 t/s ≤6k ctx · then ~0.4-0.5 (slow) |
37.2-44.4 t/s ≤100k ctx · then ~0.7-0.9 (slow) |
| 120B | won't run | won't run |
21.7-25.9 t/s ≤15k ctx · then ~0.4-0.5 (slow) |
| 400B | won't run | won't run | won't run |
Estimate: tok/s ≈ bandwidth ÷ (params × bytes/param) × efficiency (NVIDIA). Cyan = fits ~73.6 GB usable. Beyond "ctx", KV spills to system RAM (CPU/PCIe offload) (rough degraded speed shown).
What else you need for a full build▶
Minimum supporting components for a desktop built around the NVIDIA H100 PCIe 80GB. Guidance — exact needs depend on your case, other parts and how much you offload to system RAM.
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About the NVIDIA H100 PCIe 80GB
NVIDIA H100 PCIe 80GB is a discrete GPU from NVIDIA on Hopper, 2022. For local genAI the numbers that matter are its 80 GB (how big a model + context fits) and 2000 GB/s bandwidth (generation speed). Plan for a ~750W power supply.
Frequently asked questions
What size LLM can the NVIDIA H100 PCIe 80GB run?▶
With ~73.6 GB usable it runs up to ~123.5B at Q4 (~34.5B at FP16) at 8k context. Bigger spills into system RAM (CPU/PCIe offload) and slows sharply.
How many tokens/sec does the NVIDIA H100 PCIe 80GB generate?▶
Generation is bandwidth-bound. At 2000 GB/s an 8B model at Q4 runs ~325.9-388.4 tok/s (estimate).
Why does long context slow it down?▶
The KV cache for the context must also fit fast memory; once weights+KV exceed 73.6 GB it spills to system RAM (CPU/PCIe offload) and throughput collapses. Each row shows the max usable context.
What else do I need to run the NVIDIA H100 PCIe 80GB?▶
Besides the card: a ≥750W 80+ Gold power supply, at least 80GB of system RAM (2× the 80GB VRAM is ideal for CPU offload), a free PCIe x16 slot, any modern multi-core CPU, and a ≥1TB NVMe SSD for model weights.