NVIDIA Nemotron 3 Nano 30B A3B Base BF16 — Hardware Requirements & GPU Compatibility
Chat
NVIDIA 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.
68.0K downloads
113 likesSpecifications
- Publisher
- NVIDIA
- Parameters
- 31.6B
- Release Date
- 2026-03-15
- License
- Other
Get Started
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)
~42 tok/s~31 tok/s~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.
- Which GPUs can run NVIDIA Nemotron 3 Nano 30B A3B Base BF16?
No single consumer GPU has enough VRAM to run NVIDIA Nemotron 3 Nano 30B A3B Base BF16 at BF16 (69.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run NVIDIA Nemotron 3 Nano 30B A3B Base BF16?
5 devices with unified memory can run NVIDIA Nemotron 3 Nano 30B A3B Base BF16 at BF16 (69.5 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), NVIDIA DGX A100 640GB. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.