Can I Run Gemma 2 Family on NVIDIA GeForce RTX 3070 Ti?
Written by Jakub Rusinowski · Last updated September 29, 2026
Only with offload — Gemma 2 9B IT at Q4_K_M needs 9.1 GB at 8K context (5.4 GB weights + 3.7 GB KV cache/overhead) against the NVIDIA GeForce RTX 3070 Ti's 8 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
Get a personalized upgrade path →
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
NVIDIA GeForce RTX 3070 Ti Specs
| VRAM | 8 GB |
| Memory Bandwidth | 608 GB/s |
Gemma 2 9B IT on the NVIDIA GeForce RTX 3070 Ti: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 21.6 GB | ✗ No | — | — |
| Q8_0 | 13.2 GB | ✗ No | — | — |
| Q6_K | 11 GB | ✗ No | — | — |
| Q5_K_M | 10 GB | ✗ No | — | — |
| Q4_K_M | 9.1 GB | ✗ No | — | — |
| Q3_K_M | 7.5 GB | ✓ Yes | 8K | — |
| Q2_K | 6.6 GB | ✓ Yes | 8K | — |
Assumes an 8K-token context with an f16 KV cache. 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.
No compatible GPU? Gemma 2 9B IT on 16 GB of system RAM, CPU only: runs.
Why It Does Not Fit
Every Gemma 2 Family variant requires more VRAM than the NVIDIA GeForce RTX 3070 Ti provides (8 GB).
Nearest GPU That Fits
NVIDIA GeForce RTX 3080 (10GB) (10 GB VRAM).
Gemma 2 Family needs ~9 GB but this GPU has 8 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Will Gemma 2 Family run on the NVIDIA GeForce RTX 3070 Ti?
Only with offload — Gemma 2 9B IT at Q4_K_M needs 9.1 GB at 8K context (5.4 GB weights + 3.7 GB KV cache/overhead) against the NVIDIA GeForce RTX 3070 Ti's 8 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
What GPU should I get instead to run Gemma 2 Family?
The NVIDIA GeForce RTX 3080 (10GB) (10 GB VRAM) is the cheapest upgrade that fits it.
Gemma 2 Family on Other GPUs
- Gemma 2 Family on NVIDIA GeForce RTX 5060 Ti 8GB
- Gemma 2 Family on NVIDIA GeForce RTX 5060
- Gemma 2 Family on NVIDIA GeForce RTX 4060
- Gemma 2 Family on NVIDIA GeForce RTX 3070
- Gemma 2 Family on AMD Radeon RX 9060 XT 8GB
Popular Models on the NVIDIA GeForce RTX 3070 Ti
- DeepSeek R1 on NVIDIA GeForce RTX 3070 Ti
- Qwen 3 on NVIDIA GeForce RTX 3070 Ti
- Qwen 2.5 Family on NVIDIA GeForce RTX 3070 Ti
VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Out of memory at long context (the KV cache, not the weights)
Buying Guide
← Can I Run It? | Gemma 2 Family Model Page | NVIDIA GeForce RTX 3070 Ti GPU Page | VRAM calculator | Check Your Hardware