Can I Run IBM Granite 4.0 on NVIDIA GeForce RTX 3060 (12GB)?
Written by Jakub Rusinowski · Last updated August 15, 2026
No — Granite 4.0 Small-H 32B-A9B at Q4_K_M needs 22 GB at 8K context (19.3 GB weights + 2.7 GB KV cache/overhead), and the NVIDIA GeForce RTX 3060 (12GB)'s 12 GB leaves it ~10 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 5090 Laptop GPU (24 GB).
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 3060 (12GB) Specs
| VRAM | 12 GB |
| Memory Bandwidth | 360 GB/s |
Granite 4.0 Small-H 32B-A9B on the NVIDIA GeForce RTX 3060 (12GB): VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 66.6 GB | ✗ No | — | — |
| Q8_0 | 36.6 GB | ✗ No | — | — |
| Q6_K | 28.9 GB | ✗ No | — | — |
| Q5_K_M | 25.3 GB | ✗ No | — | — |
| Q4_K_M | 22 GB | ✗ No | — | — |
| Q3_K_M | 16.3 GB | ✗ No | — | — |
| Q2_K | 13.2 GB | ✗ No | — | — |
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 12 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 3060 (12GB): 8K 22 GB ✗ · 32K 27.5 GB ✗ · 128K 49.6 GB ✗. Past 8K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Granite 4.0 Small-H 32B-A9B on 24 GB of system RAM, CPU only: runs.
Why It Does Not Fit
Every IBM Granite 4.0 variant requires more VRAM than the NVIDIA GeForce RTX 3060 (12GB) provides (12 GB).
Nearest GPU That Fits
NVIDIA GeForce RTX 5090 Laptop GPU (24 GB VRAM).
IBM Granite 4.0 needs ~22 GB but this GPU has 12 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
IBM Granite 4.0 on the NVIDIA GeForce RTX 3060 (12GB) — does it fit?
No — Granite 4.0 Small-H 32B-A9B at Q4_K_M needs 22 GB at 8K context (19.3 GB weights + 2.7 GB KV cache/overhead), and the NVIDIA GeForce RTX 3060 (12GB)'s 12 GB leaves it ~10 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 5090 Laptop GPU (24 GB).
What GPU should I get instead to run IBM Granite 4.0?
The NVIDIA GeForce RTX 5090 Laptop GPU (24 GB VRAM) is the cheapest upgrade that fits it.
IBM Granite 4.0 on Other GPUs
- IBM Granite 4.0 on NVIDIA GeForce RTX 5070
- IBM Granite 4.0 on NVIDIA GeForce RTX 4070 Ti
- IBM Granite 4.0 on NVIDIA GeForce RTX 4070 Super
- IBM Granite 4.0 on NVIDIA GeForce RTX 4070
- IBM Granite 4.0 on Intel Arc B580
Popular Models on the NVIDIA GeForce RTX 3060 (12GB)
- DeepSeek R1 on NVIDIA GeForce RTX 3060 (12GB)
- Qwen 3 on NVIDIA GeForce RTX 3060 (12GB)
- Qwen 2.5 Family on NVIDIA GeForce RTX 3060 (12GB)
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | IBM Granite 4.0 Model Page | NVIDIA GeForce RTX 3060 (12GB) GPU Page | Check Your Hardware