Can I Run IBM Granite 4.2 on NVIDIA GeForce RTX 5070?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026

Yes, comfortably — Granite 4.2 8B at Q4_K_M needs 6.8 GB at 8K context (4.8 GB weights + 2 GB KV cache/overhead), leaving ~5.2 GB of the NVIDIA GeForce RTX 5070's 12 GB, at ~85 tok/s (est.), with room for up to 32K context.

See what else this hardware can run →

Kup ten sprzęt NVIDIA GeForce RTX 5070 12GB — 12 GB VRAM · 250 W board powerUruchom w chmurze RTX 4090 w RunPod — od $0.34/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

NVIDIA GeForce RTX 5070 12GB
12 GB VRAM · 250 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 5070 Specs

VRAM12 GB
Memory Bandwidth672 GB/s

Granite 4.2 8B on the NVIDIA GeForce RTX 5070: VRAM by quantization

QuantVRAM neededFits 12 GB?Max contextWhole PC
F1617.9 GB✗ No——
Q8_010.4 GB✓ Yes16K—
Q6_K8.5 GB✓ Yes32K—
Q5_K_M7.6 GB✓ Yes32K—
Q4_K_M6.8 GB✓ Yes32K—
Q3_K_M5.4 GB✓ Yes32K—
Q2_K4.6 GB✓ Yes32K—

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 5070: 8K 6.8 GB · 32K 10.2 GB · 128K 23.9 GB ✗. Past 128K 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 4.2 8B on 16 GB of system RAM, CPU only: runs.

IBM Granite 4.2 Sizes That Fit the NVIDIA GeForce RTX 5070 (at 8K context)

Granite 4.2 8BQ4_K_M · 6.8 GB at 8K context · ~85 tok/s (est.)
Granite 4.2 3BQ4_K_M · 3.5 GB at 8K context · ~163 tok/s (est.)
Buy vs. rent IBM Granite 4.2
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.

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

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 4.2 locally?

Yes, comfortably — Granite 4.2 8B at Q4_K_M needs 6.8 GB at 8K context (4.8 GB weights + 2 GB KV cache/overhead), leaving ~5.2 GB of the NVIDIA GeForce RTX 5070's 12 GB, at ~85 tok/s (est.), with room for up to 32K context.

What's the best IBM Granite 4.2 size for the NVIDIA GeForce RTX 5070?

Granite 4.2 8B at Q4_K_M quantization needs 6.8 GB at 8K context (4.8 GB weights + 2 GB KV cache/overhead), estimated ~85 tokens/sec, up to 32K context.

Every IBM Granite 4.2 size on the NVIDIA GeForce RTX 5070

SizeVRAM at 8KVerdictSpeed
Granite 4.2 30B20.7 GBDoes not fit—
Granite 4.2 8B6.8 GBRuns~85 tok/s
Granite 4.2 3B3.5 GBRuns~163 tok/s

IBM Granite 4.2 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5070

VRAM Tier

Troubleshooting

Buying Guide

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