Can I Run Nemotron Cascade 2 on NVIDIA RTX 6000 Ada Generation?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes, comfortably — Nemotron-Cascade 2 30B-A3B at Q4_K_M needs 21.7 GB at 8K context (19.1 GB weights + 2.6 GB KV cache/overhead), leaving ~26.3 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, at ~177 tok/s (est.), with room for up to 64K context.
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NVIDIA RTX 6000 Ada Generation Specs
| VRAM | 48 GB |
| Memory Bandwidth | 960 GB/s |
Nemotron-Cascade 2 30B-A3B on the NVIDIA RTX 6000 Ada Generation: VRAM by quantization
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 65.8 GB | ✗ No | — | — |
| Q8_0 | 36.2 GB | ✓ Yes | 32K | Build for this |
| Q6_K | 28.5 GB | ✓ Yes | 64K | — |
| Q5_K_M | 25 GB | ✓ Yes | 64K | Build for this |
| Q4_K_M | 21.7 GB | ✓ Yes | 64K | Build for this |
| Q3_K_M | 16.1 GB | ✓ Yes | 128K | — |
| Q2_K | 13 GB | ✓ Yes | 128K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 48 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA RTX 6000 Ada Generation: 8K 21.7 GB · 32K 27.1 GB · 128K 48.9 GB ✗. Past 128K it no longer fits 48 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Nemotron-Cascade 2 30B-A3B on 24 GB of system RAM, CPU only: runs.
Nemotron Cascade 2 Sizes That Fit the NVIDIA RTX 6000 Ada Generation (at 8K context)
| Nemotron-Cascade 2 30B-A3B | Q4_K_M · 21.7 GB at 8K context · ~177 tok/s (est.) |
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Will Nemotron Cascade 2 run on the NVIDIA RTX 6000 Ada Generation?
Yes, comfortably — Nemotron-Cascade 2 30B-A3B at Q4_K_M needs 21.7 GB at 8K context (19.1 GB weights + 2.6 GB KV cache/overhead), leaving ~26.3 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, at ~177 tok/s (est.), with room for up to 64K context.
Which Nemotron Cascade 2 variant fits best on the NVIDIA RTX 6000 Ada Generation?
Nemotron-Cascade 2 30B-A3B at Q4_K_M quantization needs 21.7 GB at 8K context (19.1 GB weights + 2.6 GB KV cache/overhead), estimated ~177 tokens/sec, up to 64K context.
Nemotron Cascade 2 on Other GPUs
- Nemotron Cascade 2 on NVIDIA L40S
- Nemotron Cascade 2 on Apple M3 Pro
- Nemotron Cascade 2 on NVIDIA GeForce RTX 5090
- Nemotron Cascade 2 on Apple M4
- Nemotron Cascade 2 on Apple M2 Pro
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