Yes — Nemotron Cascade 2 (30B) runs at 22 tok/s on M4 Pro with 24 GB RAM using Q4_K_M quantization via Ollama. First token latency is 1.5s. NVIDIA's Nemotron Cascade 2, a hybrid SSM-Transformer 30B model.
Want to run Nemotron Cascade 2 faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Nemotron Cascade 2 on M4 Pro using our published methodology: Q4_K_M quantization, memory-bandwidth scaling, and cross-referenced third-party benchmarks where available. Figures are transparent estimates — own this config? Submit a real benchmark →
| Metric | Value |
|---|---|
| Tokens per second | 22 tok/s |
| Time to first token | 1.5s |
| Quantization | Q4_K_M |
| Minimum RAM | 24 GB |
| Recommended engine | Ollama |
| Parameters | 30B |
| Benchmark date | 2026-04 |
Q4_K_M 30B Ollama M4 Pro
The recommended engine for Nemotron Cascade 2 on M4 Pro is Ollama. Install Ollama, then pull the model:
Ollama handles quantization automatically — it will download the Q4_K_M variant (~24 GB) and start an interactive chat session.
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M5 Max | 35 tok/s | 0.9s | 64 GB | Ollama |
| M4 Max | 28 tok/s | 1.2s | 48 GB | MLX |
To run Nemotron Cascade 2 on M4 Pro you need:
Nemotron Cascade 2 needs about 24 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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See how Nemotron Cascade 2 stacks up against other models on your specific Mac hardware.
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