Can I Run North Mini Code on NVIDIA GeForce RTX 5090?

Written by Jakub Rusinowski · Last updated September 29, 2026

Yes, comfortably — North Mini Code 1.0 30B-A3B at Q4_K_M needs 20.7 GB at 8K context (18.1 GB weights + 2.6 GB KV cache/overhead), leaving ~11.3 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~249 tok/s (est.), with room for up to 32K context.

See what else this hardware can run →

Buy this hardware NVIDIA GeForce RTX 5090 32GB — 32 GB VRAM · 575 W board powerDeploy in the cloud now RTX 5090 on RunPod

or compare on Vast.ai

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.

Affiliate disclosure: Some links on this page are affiliate links — if you buy through them, LLM Configurator may earn a commission at no extra cost to you. As an Amazon Associate, LLM Configurator earns from qualifying purchases.

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

NVIDIA GeForce RTX 5090 Specs

VRAM32 GB
Memory Bandwidth1792 GB/s

North Mini Code 1.0 30B-A3B on the NVIDIA GeForce RTX 5090: VRAM by quantization

QuantVRAM neededFits 32 GB?Max contextWhole PC
F1662.6 GB✗ No——
Q8_034.5 GB✗ No——
Q6_K27.2 GB✓ Yes16K—
Q5_K_M23.8 GB✓ Yes32K—
Q4_K_M20.7 GB✓ Yes32K—
Q3_K_M15.4 GB✓ Yes64K—
Q2_K12.4 GB✓ Yes64K—

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 32 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 5090: 8K 20.7 GB · 32K 26 GB · 128K 47.4 GB ✗. Past 128K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? North Mini Code 1.0 30B-A3B on 16 GB of system RAM, CPU only: runs, but it is tight.

North Mini Code Sizes That Fit the NVIDIA GeForce RTX 5090 (at 8K context)

North Mini Code 1.0 30B-A3BQ4_K_M · 20.7 GB at 8K context · ~249 tok/s (est.)
Buy vs. rent North Mini Code
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.

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 5090 enough to run North Mini Code locally?

Yes, comfortably — North Mini Code 1.0 30B-A3B at Q4_K_M needs 20.7 GB at 8K context (18.1 GB weights + 2.6 GB KV cache/overhead), leaving ~11.3 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~249 tok/s (est.), with room for up to 32K context.

What's the best North Mini Code size for the NVIDIA GeForce RTX 5090?

North Mini Code 1.0 30B-A3B at Q4_K_M quantization needs 20.7 GB at 8K context (18.1 GB weights + 2.6 GB KV cache/overhead), estimated ~249 tokens/sec, up to 32K context.

North Mini Code on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5090

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | North Mini Code Model Page | NVIDIA GeForce RTX 5090 GPU Page | VRAM calculator | Check Your Hardware