Nemotron Cascade 2 30B A3B needs ~27.2 GB VRAM. RTX A6000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~84 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
90.2 tok/s
TTFT
2146 ms
Safe context
129K
Memory
27.2 GB / 48.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 83.9 tok/s | 1258 ms | 129K |
| Coding | S | Runs well | 83.9 tok/s | 2307 ms | 129K |
| Agentic Coding | S | Runs well | 90.2 tok/s | 3121 ms | 129K |
| Reasoning | S | Runs well | 90.2 tok/s | 2536 ms | 129K |
| RAG | S | Runs well | 90.2 tok/s | 3901 ms | 129K |
How Nemotron Cascade 2 30B A3B (30B params) fits at each quantization level on RTX A6000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | A81 |
Q3_K_S | 3 | 14.7 GB | Low | A82 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron Cascade 2 30B A3B on your machine.
Run
ollama run nemotron-cascade-2Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 88.3 tok/s | ||
| 35B | S | 74.2 tok/s |
Yes, RTX A6000 48GB can run Nemotron Cascade 2 30B A3B with a S grade (Runs well). Expected decode speed: 83.9 tok/s.
Nemotron Cascade 2 30B A3B (30B parameters) requires approximately 27.2 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron Cascade 2 30B A3B is Q4_K_M, which balances quality and memory efficiency.
On RTX A6000 48GB, Nemotron Cascade 2 30B A3B achieves approximately 83.9 tokens per second decode speed with a time-to-first-token of 2307ms using Q4_K_M quantization.
For coding workloads, Nemotron Cascade 2 30B A3B on RTX A6000 48GB receives a S grade with 83.9 tok/s and 129K context.
On RTX A6000 48GB, Nemotron Cascade 2 30B A3B can safely use up to 129K tokens of context. The model's official context limit is 262K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nemotron-cascade-2-30b-a3b-on-a6000-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
16.8 GB |
| Medium |
| A83 |
Q4_K_M | 4 | 18.3 GB | Medium | A83 |
Q5_K_M | 5 | 21.6 GB | High | A84 |
Q6_K | 6 | 24.6 GB | High | S86 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | S86 |
F16 | 16 | 61.5 GB | Maximum | F0 |
| 35B | S | 80.7 tok/s |
| 32B | S | 32.5 tok/s |
| 30.5B | S | 88.3 tok/s |