Can I Run Gemma 3n on AMD Radeon RX 9060 XT 8GB?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — Gemma 3n E4B at Q4_K_M needs 6.7 GB at 8K context (4.7 GB weights + 2 GB KV cache/overhead), leaving ~1.3 GB of the AMD Radeon RX 9060 XT 8GB's 8 GB, at ~61 tok/s (est.), with room for up to 16K context.
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AMD Radeon RX 9060 XT 8GB Specs
| VRAM | 8 GB |
| Memory Bandwidth | 320 GB/s |
Gemma 3n E4B on the AMD Radeon RX 9060 XT 8GB: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 17.6 GB | ✗ No | — | — |
| Q8_0 | 10.3 GB | ✗ No | — | — |
| Q6_K | 8.4 GB | ✗ No | — | — |
| Q5_K_M | 7.5 GB | ✓ Yes | 8K | — |
| Q4_K_M | 6.7 GB | ✓ Yes | 16K | — |
| Q3_K_M | 5.3 GB | ✓ Yes | 16K | — |
| Q2_K | 4.5 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 8 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 AMD Radeon RX 9060 XT 8GB: 8K 6.7 GB · 32K 10.1 GB ✗. Past 32K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Gemma 3n E4B on 16 GB of system RAM, CPU only: runs.
Gemma 3n Sizes That Fit the AMD Radeon RX 9060 XT 8GB (at 8K context)
| Gemma 3n E4B | Q4_K_M · 6.7 GB at 8K context · ~61 tok/s (est.) |
| Gemma 3n E2B | Q4_K_M · 5.1 GB at 8K context · ~92 tok/s (est.) |
At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.
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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
Does the AMD Radeon RX 9060 XT 8GB have enough VRAM for Gemma 3n?
Yes, comfortably — Gemma 3n E4B at Q4_K_M needs 6.7 GB at 8K context (4.7 GB weights + 2 GB KV cache/overhead), leaving ~1.3 GB of the AMD Radeon RX 9060 XT 8GB's 8 GB, at ~61 tok/s (est.), with room for up to 16K context.
Which quantization of Gemma 3n should I use on the AMD Radeon RX 9060 XT 8GB?
Gemma 3n E4B at Q4_K_M quantization needs 6.7 GB at 8K context (4.7 GB weights + 2 GB KV cache/overhead), estimated ~61 tokens/sec, up to 16K context.
Every Gemma 3n size on the AMD Radeon RX 9060 XT 8GB
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Gemma 3n E4B | 6.7 GB | Runs | ~61 tok/s |
| Gemma 3n E2B | 5.1 GB | Runs | ~92 tok/s |
Gemma 3n on Other GPUs
- Gemma 3n on NVIDIA GeForce RTX 5060 Ti 8GB
- Gemma 3n on NVIDIA GeForce RTX 5060
- Gemma 3n on NVIDIA GeForce RTX 4060
- Gemma 3n on NVIDIA GeForce RTX 3070 Ti
- Gemma 3n on NVIDIA GeForce RTX 3070
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