NVIDIA Nemotron 3 Nano 30B A3B Base BF16 — Hardware Requirements & GPU Compatibility
ChatNVIDIA Nemotron 3 Nano 30B A3B Base BF16 is the foundation model version of the Nemotron 3 Nano 30B, offered in full BF16 precision. Unlike the chat-tuned variants, this base model hasn't been instruction-tuned, making it suitable for fine-tuning, research, or custom alignment workflows. At 31.6 billion total parameters with a mixture-of-experts architecture, the base model gives developers and researchers a strong starting point for building specialized applications. It retains all the architectural benefits of the MoE design while leaving the behavioral layer open for customization.
Specifications
- Publisher
- NVIDIA
- Parameters
- 31.6B
- Release Date
- 2026-03-15
- License
- Other
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How Much VRAM Does NVIDIA Nemotron 3 Nano 30B A3B Base BF16 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 69.5 GB | — | 63.16 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run NVIDIA Nemotron 3 Nano 30B A3B Base BF16?
BF16 · 69.5 GBNVIDIA Nemotron 3 Nano 30B A3B Base BF16 (BF16) requires 69.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 91+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run NVIDIA Nemotron 3 Nano 30B A3B Base BF16?
BF16 · 69.5 GB5 devices with unified memory can run NVIDIA Nemotron 3 Nano 30B A3B Base BF16, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Related Models
Frequently Asked Questions
- How much VRAM does NVIDIA Nemotron 3 Nano 30B A3B Base BF16 need?
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 requires 69.5 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 31.6B × 16 bits ÷ 8 = 63.2 GB
KV Cache + Overhead ≈ 6.3 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF1669.5 GB- Can NVIDIA GeForce RTX 5090 run NVIDIA Nemotron 3 Nano 30B A3B Base BF16?
No — NVIDIA Nemotron 3 Nano 30B A3B Base BF16 requires at least 69.5 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run NVIDIA Nemotron 3 Nano 30B A3B Base BF16 on a Mac?
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 requires at least 69.5 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 Nano 30B A3B Base BF16 locally?
Yes — NVIDIA Nemotron 3 Nano 30B A3B Base BF16 can run locally on consumer hardware. At BF16 quantization it needs 69.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is NVIDIA Nemotron 3 Nano 30B A3B Base BF16?
At BF16, NVIDIA Nemotron 3 Nano 30B A3B Base BF16 can reach ~42 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 ÷ 69.5 × 0.55 = ~42 tok/s
Estimated speed at BF16 (69.5 GB)
AMD Instinct MI300X~42 tok/sNVIDIA H100 SXM~31 tok/sAMD Instinct MI250X~26 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 Nano 30B A3B Base BF16?
At BF16, the download is about 63.16 GB.