Can I Run EXAONE 3.5 on NVIDIA GeForce RTX 5090?

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, comfortably — you'll have ~12.7 GB of headroom running EXAONE 3.5 32B at Q4_K_M (19.32 GB, ~64 tok/s (est.)) with room for up to 32K context.

Buy This HardwareNVIDIA GeForce RTX 5090 32GB — 32 GB VRAM · 575 W board powerDeploy in the Cloud NowRTX 5090 on RunPod

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NVIDIA GeForce RTX 5090 32GB
32 GB VRAM · 575 W board power
2026 prices are volatile — check the current listing.
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NVIDIA GeForce RTX 5090 Specs

VRAM32 GB
Memory Bandwidth1792 GB/s

EXAONE 3.5 32B on the NVIDIA GeForce RTX 5090: VRAM by quantization

QuantVRAM neededFits 32 GB?Max context
F1665.9 GB✗ No
Q8_035.9 GB✗ No
Q6_K28.1 GB✓ Yes16K
Q5_K_M24.6 GB✓ Yes16K
Q4_K_M21.2 GB✓ Yes32K
Q3_K_M15.5 GB✓ Yes32K
Q2_K12.4 GB✓ Yes32K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

EXAONE 3.5 Sizes That Fit the NVIDIA GeForce RTX 5090

EXAONE 3.5 32BQ4_K_M · 19.32 GB · ~64 tok/s (est.)
EXAONE 3.5 7.8BQ4_K_M · 4.70925 GB · ~176 tok/s (est.)
EXAONE 3.5 2.4BQ4_K_M · 1.449 GB · ~294 tok/s (est.)
Buy vs. rent EXAONE 3.5
Buy the GPU
~$1,999
NVIDIA GeForce RTX 5090 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 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 5090 enough to run EXAONE 3.5 locally?

Yes, comfortably — you'll have ~12.7 GB of headroom running EXAONE 3.5 32B at Q4_K_M (19.32 GB, ~64 tok/s (est.)) with room for up to 32K context.

What's the best EXAONE 3.5 size for the NVIDIA GeForce RTX 5090?

EXAONE 3.5 32B at Q4_K_M quantization (19.32 GB), estimated ~64 tokens/sec, up to 32K context.

EXAONE 3.5 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5090

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | EXAONE 3.5 Model Page | NVIDIA GeForce RTX 5090 GPU Page | Check Your Hardware