Can I Run Nemotron 3 Nano Omni on NVIDIA GeForce RTX 3090?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 6 września 2026
Yes, comfortably — Nemotron 3 Nano Omni 30B-A3B at Q4_K_M needs 20.7 GB at 8K context (18.1 GB weights + 2.6 GB KV cache/overhead), leaving ~3.3 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~145 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 3090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 936 GB/s |
Nemotron 3 Nano Omni 30B-A3B on the NVIDIA GeForce RTX 3090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 62.6 GB | ✗ No | — | — |
| Q8_0 | 34.5 GB | ✗ No | — | — |
| Q6_K | 27.2 GB | ✗ No | — | — |
| Q5_K_M | 23.8 GB | ✓ Yes | 8K | — |
| Q4_K_M | 20.7 GB | ✓ Yes | 16K | — |
| Q3_K_M | 15.4 GB | ✓ Yes | 32K | — |
| Q2_K | 12.4 GB | ✓ Yes | 32K | — |
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 24 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 GeForce RTX 3090: 8K 20.7 GB · 32K 26 GB ✗ · 128K 47.4 GB ✗. Past 32K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Nemotron 3 Nano Omni 30B-A3B on 16 GB of system RAM, CPU only: runs, but it is tight.
Nemotron 3 Nano Omni Sizes That Fit the NVIDIA GeForce RTX 3090 (at 8K context)
| Nemotron 3 Nano Omni 30B-A3B | Q4_K_M · 20.7 GB at 8K context · ~145 tok/s (est.) |
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 years.
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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 3 Nano Omni run on the NVIDIA GeForce RTX 3090?
Yes, comfortably — Nemotron 3 Nano Omni 30B-A3B at Q4_K_M needs 20.7 GB at 8K context (18.1 GB weights + 2.6 GB KV cache/overhead), leaving ~3.3 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~145 tok/s (est.), with room for up to 16K context.
Which Nemotron 3 Nano Omni variant fits best on the NVIDIA GeForce RTX 3090?
Nemotron 3 Nano Omni 30B-A3B at Q4_K_M quantization needs 20.7 GB at 8K context (18.1 GB weights + 2.6 GB KV cache/overhead), estimated ~145 tokens/sec, up to 16K context.
Nemotron 3 Nano Omni on Other GPUs
- Nemotron 3 Nano Omni on NVIDIA GeForce RTX 4090
- Nemotron 3 Nano Omni on AMD Radeon RX 7900 XTX
- Nemotron 3 Nano Omni on Apple M4 Pro
- Nemotron 3 Nano Omni on Apple M3
- Nemotron 3 Nano Omni on Apple M2
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