Can I Run IBM Granite 4.1 on NVIDIA GeForce RTX 5070?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 kwietnia 2026

Yes, comfortably — you'll have ~7 GB of headroom running Granite 4.1 8B at Q4_K_M (5 GB, ~134 tok/s (est.)) with room for up to 8K context.

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Sprawdź cenę na Amazon — NVIDIA GeForce RTX 5070 12GB

NVIDIA GeForce RTX 5070 Specs

VRAM12 GB
Memory Bandwidth672 GB/s

Granite 4.1 8B on the NVIDIA GeForce RTX 5070: VRAM by quantization

QuantVRAM neededFits 12 GB?Max context
F1619.4 GB✗ No
Q8_011.9 GB✓ Yes4K
Q6_K9.9 GB✓ Yes4K
Q5_K_M9 GB✓ Yes8K
Q4_K_M8.2 GB✓ Yes8K
Q3_K_M6.8 GB✓ Yes8K
Q2_K6 GB✓ Yes8K

VRAM needed assumes a 4K-token context with an f16 KV cache; “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.

IBM Granite 4.1 Sizes That Fit the NVIDIA GeForce RTX 5070

Granite 4.1 8BQ4_K_M · 5 GB · ~134 tok/s (est.)
Granite 4.1 3BQ4_K_M · 2 GB · ~336 tok/s (est.)
Buy vs. rent IBM Granite 4.1
Buy the GPU
~$549
NVIDIA GeForce RTX 5070 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$549) beats renting at $0.34/hr after about 2.2 years.

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Is the NVIDIA GeForce RTX 5070 enough to run IBM Granite 4.1 locally?

Yes, comfortably — you'll have ~7 GB of headroom running Granite 4.1 8B at Q4_K_M (5 GB, ~134 tok/s (est.)) with room for up to 8K context.

What's the best IBM Granite 4.1 size for the NVIDIA GeForce RTX 5070?

Granite 4.1 8B at Q4_K_M quantization (5 GB), estimated ~134 tokens/sec, up to 8K context.

IBM Granite 4.1 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5070

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | IBM Granite 4.1 Model Page | NVIDIA GeForce RTX 5070 GPU Page | Check Your Hardware