NVIDIA Nemotron 3 Super 120B A12B NVFP4 — Hardware Requirements & GPU Compatibility
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36.0K downloads
15 likesSpecifications
- Publisher
- Unsloth
- Parameters
- 67.2B
- Architecture
- NemotronHForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 131,072
- Release Date
- 2026-03-11
- License
- Other
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How Much VRAM Does NVIDIA Nemotron 3 Super 120B A12B NVFP4 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 134.9 GB | 158.4 GB | 134.46 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run NVIDIA Nemotron 3 Super 120B A12B NVFP4?
BF16 · 134.9 GBNVIDIA Nemotron 3 Super 120B A12B NVFP4 (BF16) requires 134.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 176+ GB is recommended. Using the full 262K context window can add up to 23.4 GB, bringing total usage to 158.4 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run NVIDIA Nemotron 3 Super 120B A12B NVFP4?
BF16 · 134.9 GB4 devices with unified memory can run NVIDIA Nemotron 3 Super 120B A12B NVFP4, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Pro M2 Ultra (192 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does NVIDIA Nemotron 3 Super 120B A12B NVFP4 need?
NVIDIA Nemotron 3 Super 120B A12B NVFP4 requires 134.9 GB of VRAM at BF16. Full 262K context adds up to 23.4 GB (158.4 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 67.2B × 16 bits ÷ 8 = 134.5 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 23.9 GB (at full 262K context)
VRAM usage by quantization
BF16134.9 GBBF16 + full context158.4 GB- Can NVIDIA GeForce RTX 5090 run NVIDIA Nemotron 3 Super 120B A12B NVFP4?
No — NVIDIA Nemotron 3 Super 120B A12B NVFP4 requires at least 134.9 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run NVIDIA Nemotron 3 Super 120B A12B NVFP4 on a Mac?
NVIDIA Nemotron 3 Super 120B A12B NVFP4 requires at least 134.9 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run NVIDIA Nemotron 3 Super 120B A12B NVFP4 locally?
Yes — NVIDIA Nemotron 3 Super 120B A12B NVFP4 can run locally on consumer hardware. At BF16 quantization it needs 134.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is NVIDIA Nemotron 3 Super 120B A12B NVFP4?
At BF16, NVIDIA Nemotron 3 Super 120B A12B NVFP4 can reach ~22 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 134.9 × 0.55 = ~22 tok/s
Estimated speed at BF16 (134.9 GB)
AMD Instinct MI300X~22 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of NVIDIA Nemotron 3 Super 120B A12B NVFP4?
At BF16, the download is about 134.46 GB.
- Which GPUs can run NVIDIA Nemotron 3 Super 120B A12B NVFP4?
No single consumer GPU has enough VRAM to run NVIDIA Nemotron 3 Super 120B A12B NVFP4 at BF16 (134.9 GB). Multi-GPU or professional hardware is required.
- Which devices can run NVIDIA Nemotron 3 Super 120B A12B NVFP4?
4 devices with unified memory can run NVIDIA Nemotron 3 Super 120B A12B NVFP4 at BF16 (134.9 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.