// NVIDIA Nemotron · Vision-language
NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16: VRAM & local deployment
74.9B total · 9B active (MoE) parameters. About 50.4 GB at 4-bit and 165 GB at BF16.
released 2026-10-09licence: Commercial OKmemory figures are estimates
01Specs
| Publisher | NVIDIA · nvidia |
|---|---|
| Family / series | NVIDIA Nemotron · NVIDIA-Nemotron-3.5-Bolt |
| Type | Vision-language (image-text-to-text) |
| Parameters | 74.9B total · 9B active (MoE) Source: counted from official safetensors weights |
| Context length | — |
| Released weights | BF16 · 150 GBdownload |
| Licence | OpenMDW-1.1 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed. |
| Released | 2026-10-09 (Hugging Face repo created) |
02How much VRAM it needs (estimate)
Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.
| Precision | Weights | Smallest GPU | Mac |
|---|---|---|---|
| BF16 / FP16 (original) | 150 GB | 4 × RTX PRO 6000 (384GB) | Mac 256GB |
| FP8 / INT8 / Q8_0 | 79.6 GB | H200 141GB | Mac 256GB |
| 4-bit (Q4_K_M / AWQ / GPTQ-Int4) | 45.4 GB | 2 × RTX 5090 (64GB) | Mac 128GB |
KV cache not estimated: the official config.json is gated or lacks attention parameters. Totals above are weights + overhead only.
Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →
03How to run it
Only runtimes the publisher or the runtime’s official library names for this model.
- vLLM — mentioned in the official model card
- llama.cpp — mentioned in the official model card
- Transformers — mentioned in the official model card
04Official repositories & quantised builds
3 official repo(s) from nvidia.
05Other NVIDIA Nemotron models
All 62 →| Model | Params | 4-bit total | Released |
|---|---|---|---|
| NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 | 3.98B | 3.6 GB | 2026-10-16 |
| Nemotron-3.5-Rerank-8B-BF16 | 8.38B | 6.1 GB | 2026-10-15 |
| NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 | 124.5B / 12B | 83.5 GB | 2026-10-12 |
| Nemotron-3.5-Embed-1B-BF16 | 1.55B | 1.5 GB | 2026-10-07 |
| Nemotron-3.5-Embed-8B-BF16 | 8.38B | 6.1 GB | 2026-10-07 |
| Nemotron-3.5-Parse | 631M | 1.1 GB | 2026-09-03 |
| Nemotron-3-Labs-Ultra-Math-RL | 550B / 55B | 367 GB | 2026-09-02 |
| NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 | 31.6B / 3B | 21.6 GB | 2026-08-01 |
06Sources
Data checked 2026-10-19. Parameters, context and licence are copied from the official repository; memory figures are our estimates.