Nemotron Cascade 2 — Local AI Model by NVIDIA

作者: Jakub Rusinowski · 最后更新: 2026年7月10日

NVIDIA's consumer-friendly hybrid SSM+attention model released March 2026. The 30B variant fits in a single RTX 4060 Ti (17 GB Q4) and sustains ~54 tokens/second — faster than any pure-Transformer of comparable quality. Uses selective state-space layers (Mamba2) to process long contexts 3x cheaper than attention. Apache 2.0 licensed and available on Ollama.

Hardware Requirements

Nemotron Cascade 2 30BMin 19 GB VRAM · Q4_K_M · 128,000 ctx · ollama run nemotron-cascade:30b
Nemotron Cascade 2 70BMin 43 GB VRAM · Q4_K_M · 128,000 ctx · ollama run nemotron-cascade:70b

Recommended GPU

The cheapest GPU that runs Nemotron Cascade 2 locally (min 19 GB VRAM) is the AMD Radeon RX 7900 XT (20 GB).

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AMD Radeon RX 7900 XT 20GB
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How to Run Locally

Install Ollama then run: ollama run nemotron-cascade:30b

Minimum VRAM: 19 GB. For best results use Q4_K_M quantization.

Nemotron Cascade 2 — Frequently Asked Questions

How much VRAM does Nemotron Cascade 2 need?

Nemotron Cascade 2 needs about 19 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Nemotron Cascade 2 30B (19 GB, Q4_K_M); Nemotron Cascade 2 70B (43 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Nemotron Cascade 2 on an RTX 4090 (24 GB)?

Yes — Nemotron Cascade 2 runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for Nemotron Cascade 2?

Q4_K_M is the best balance of quality and VRAM for Nemotron Cascade 2 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Nemotron Cascade 2 with Ollama?

Install Ollama, then run: ollama run nemotron-cascade:30b. This downloads Nemotron Cascade 2 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run Nemotron Cascade 2 on My GPU?