NVIDIA Nemotron 3 Super 120B A12B FP8 — Hardware Requirements & GPU Compatibility
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366 downloads
6 likesSpecifications
- Publisher
- Unsloth
- Parameters
- 123.6B
- Architecture
- NemotronHForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 131,072
- Release Date
- 2026-03-12
- License
- Other
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How Much VRAM Does NVIDIA Nemotron 3 Super 120B A12B FP8 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 247.7 GB | 271.1 GB | 247.22 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run NVIDIA Nemotron 3 Super 120B A12B FP8?
BF16 · 247.7 GBNVIDIA Nemotron 3 Super 120B A12B FP8 (BF16) requires 247.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 323+ GB is recommended. Using the full 262K context window can add up to 23.4 GB, bringing total usage to 271.1 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run NVIDIA Nemotron 3 Super 120B A12B FP8?
BF16 · 247.7 GB2 devices with unified memory can run NVIDIA Nemotron 3 Super 120B A12B FP8, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does NVIDIA Nemotron 3 Super 120B A12B FP8 need?
NVIDIA Nemotron 3 Super 120B A12B FP8 requires 247.7 GB of VRAM at BF16. Full 262K context adds up to 23.4 GB (271.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 123.6B × 16 bits ÷ 8 = 247.2 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 23.9 GB (at full 262K context)
VRAM usage by quantization
BF16247.7 GBBF16 + full context271.1 GB- Can NVIDIA GeForce RTX 5090 run NVIDIA Nemotron 3 Super 120B A12B FP8?
No — NVIDIA Nemotron 3 Super 120B A12B FP8 requires at least 247.7 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run NVIDIA Nemotron 3 Super 120B A12B FP8 on a Mac?
NVIDIA Nemotron 3 Super 120B A12B FP8 requires at least 247.7 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 FP8 locally?
Yes — NVIDIA Nemotron 3 Super 120B A12B FP8 can run locally on consumer hardware. At BF16 quantization it needs 247.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of NVIDIA Nemotron 3 Super 120B A12B FP8?
At BF16, the download is about 247.22 GB.
- Which GPUs can run NVIDIA Nemotron 3 Super 120B A12B FP8?
No single consumer GPU has enough VRAM to run NVIDIA Nemotron 3 Super 120B A12B FP8 at BF16 (247.7 GB). Multi-GPU or professional hardware is required.
- Which devices can run NVIDIA Nemotron 3 Super 120B A12B FP8?
2 devices with unified memory can run NVIDIA Nemotron 3 Super 120B A12B FP8 at BF16 (247.7 GB), including 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.