Can I Run Nemotron 3 Nano Omni on NVIDIA GeForce RTX 5090?
Written by Jakub Rusinowski · Last updated September 29, 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 ~11.3 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~249 tok/s (est.), with room for up to 32K context.
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NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
Nemotron 3 Nano Omni 30B-A3B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 62.6 GB | ✗ No | — | — |
| Q8_0 | 34.5 GB | ✗ No | — | — |
| Q6_K | 27.2 GB | ✓ Yes | 16K | — |
| Q5_K_M | 23.8 GB | ✓ Yes | 32K | — |
| Q4_K_M | 20.7 GB | ✓ Yes | 32K | — |
| Q3_K_M | 15.4 GB | ✓ Yes | 64K | — |
| Q2_K | 12.4 GB | ✓ Yes | 64K | — |
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 32 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 5090: 8K 20.7 GB · 32K 26 GB · 128K 47.4 GB ✗. Past 128K it no longer fits 32 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 5090 (at 8K context)
| Nemotron 3 Nano Omni 30B-A3B | Q4_K_M · 20.7 GB at 8K context · ~249 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 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 5090?
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 ~11.3 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~249 tok/s (est.), with room for up to 32K context.
Which Nemotron 3 Nano Omni variant fits best on the NVIDIA GeForce RTX 5090?
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 ~249 tokens/sec, up to 32K context.
Nemotron 3 Nano Omni on Other GPUs
- Nemotron 3 Nano Omni on Apple M4
- Nemotron 3 Nano Omni on Apple M2 Pro
- Nemotron 3 Nano Omni on Apple M1 Pro
- Nemotron 3 Nano Omni on Apple M5
- Nemotron 3 Nano Omni on Apple M3 Pro
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