Can I Run Nemotron 3 Super on NVIDIA H100 80GB (PCIe)?
Written by Jakub Rusinowski · Last updated August 15, 2026
Yes, but it's tight — Nemotron 3 Super 120B-A12B at Q4_K_M needs 76.1 GB at 8K context (72.5 GB weights + 3.6 GB KV cache/overhead), leaving ~3.9 GB of the NVIDIA H100 80GB (PCIe)'s 80 GB, at ~136 tok/s (est.), with room for up to 16K context.
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NVIDIA H100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 2000 GB/s |
Nemotron 3 Super 120B-A12B on the NVIDIA H100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 243.7 GB | ✗ No | — | — |
| Q8_0 | 131.2 GB | ✗ No | — | — |
| Q6_K | 102.1 GB | ✗ No | — | — |
| Q5_K_M | 88.7 GB | ✗ No | — | — |
| Q4_K_M | 76.1 GB | ✓ Yes | 16K | — |
| Q3_K_M | 54.8 GB | ✓ Yes | 64K | — |
| Q2_K | 43.1 GB | ✓ Yes | 64K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 80 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA H100 80GB (PCIe): 8K 76.1 GB · 32K 84.7 GB ✗ · 128K 118.9 GB ✗. Past 32K it no longer fits 80 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Nemotron 3 Super 120B-A12B on 64 GB of system RAM, CPU only: runs.
Nemotron 3 Super Sizes That Fit the NVIDIA H100 80GB (PCIe) (at 8K context)
| Nemotron 3 Super 120B-A12B | Q4_K_M · 76.1 GB at 8K context · ~136 tok/s (est.) |
At 2 hrs/day, buying (~$25,000) beats renting at $0.77/hr after about 45.1 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Is the NVIDIA H100 80GB (PCIe) enough to run Nemotron 3 Super locally?
Yes, but it's tight — Nemotron 3 Super 120B-A12B at Q4_K_M needs 76.1 GB at 8K context (72.5 GB weights + 3.6 GB KV cache/overhead), leaving ~3.9 GB of the NVIDIA H100 80GB (PCIe)'s 80 GB, at ~136 tok/s (est.), with room for up to 16K context.
What's the best Nemotron 3 Super size for the NVIDIA H100 80GB (PCIe)?
Nemotron 3 Super 120B-A12B at Q4_K_M quantization needs 76.1 GB at 8K context (72.5 GB weights + 3.6 GB KV cache/overhead), estimated ~136 tokens/sec, up to 16K context.
Nemotron 3 Super on Other GPUs
- Nemotron 3 Super on NVIDIA A100 80GB (PCIe)
- Nemotron 3 Super on Apple M2 Max
- Nemotron 3 Super on Apple M1 Max
- Nemotron 3 Super on Apple M5 Pro
- Nemotron 3 Super on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA H100 80GB (PCIe)
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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