# GeForce RTX 5090 Founders Edition

> GeForce RTX 5090 · NVIDIA

Canonical: https://gpuninja.com/boards/nvidia-5090-founders-edition
Data as of: 2026-10-11T16:04:47Z
Path: Home › Graphics cards
- Specs verified: 11 Oct 2026, 16:04 UTC

## Specifications

- Chip: [GeForce RTX 5090](https://gpuninja.com/chips/geforce-rtx-5090)
- Vendor: NVIDIA (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- VRAM: 32 GB (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- Memory type: GDDR7 (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- Boost clock: 2,410 MHz (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- TDP: 575 W (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- Cooling: Open-air (Verified · source tomshardware.com · retrieved 11 Oct 2026, 15:50 UTC · checked 11 Oct 2026, 16:04 UTC)
- Status: Active (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)

## Size & power

- Length: 304 mm (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- Width: 137 mm (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- Slot width: 2-slot (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)
- Power connectors: 1× 12V-2x6 (Verified · source tomshardware.com · retrieved 11 Oct 2026, 15:50 UTC · checked 11 Oct 2026, 16:04 UTC)
- Recommended PSU: 1,000 W (Verified · source nvidia.com · retrieved 11 Oct 2026, 15:49 UTC · checked 11 Oct 2026, 16:04 UTC)

## Prices

- Lowest current price: Not recorded

No prices recorded.

## Cases it fits

Case, Vendor, Form factor, Max GPU length, Max GPU slots, Price, Stock, Fit, Why

- [Dark Base 701](https://gpuninja.com/chassis/be-quiet-dark-base-701) — be quiet!, Mid tower, 430 mm, 7-slot, Not recorded, No listings — Fits: 126 mm spare
- [Pure Base 500DX](https://gpuninja.com/chassis/be-quiet-pure-base-500dx) — be quiet!, Mid tower, 369 mm, 7-slot, Not recorded, Last recorded out of stock, Discontinued — Fits: 65 mm spare
- [Shadow Base 800 DX](https://gpuninja.com/chassis/be-quiet-shadow-base-800-dx) — be quiet!, Mid tower, 430 mm, 7-slot, Not recorded, No listings — Fits: 126 mm spare
- [HAF 700 EVO](https://gpuninja.com/chassis/cooler-master-haf-700-evo) — Cooler Master, Full tower, 490 mm, 8-slot, Not recorded, No listings — Fits: 186 mm spare
- [MasterFrame 700](https://gpuninja.com/chassis/cooler-master-masterframe-700) — Cooler Master, Open frame, 450 mm, 8-slot, Not recorded, No listings — Fits: 146 mm spare
- [2500X](https://gpuninja.com/chassis/corsair-2500x) — Corsair, Mid tower, 400 mm, 4-slot, Not recorded, No listings — Fits: 96 mm spare
- [4000D Airflow](https://gpuninja.com/chassis/corsair-4000d-airflow) — Corsair, Mid tower, 360 mm, 7-slot, Not recorded, No listings — Fits: 56 mm spare
- [5000D Airflow](https://gpuninja.com/chassis/corsair-5000d-airflow) — Corsair, Mid tower, 420 mm, 7-slot, Not recorded, No listings — Fits: 116 mm spare
- [7000D Airflow](https://gpuninja.com/chassis/corsair-7000d-airflow) — Corsair, Full tower, 450 mm, 8-slot, Not recorded, No listings — Fits: 146 mm spare
- [Meshify 2](https://gpuninja.com/chassis/fractal-design-meshify-2) — Fractal Design, Mid tower, 491 mm, 7-slot, Not recorded, No listings — Fits: 187 mm spare
- [North](https://gpuninja.com/chassis/fractal-design-north) — Fractal Design, Mid tower, 355 mm, 7-slot, Not recorded, No listings — Fits: 51 mm spare
- [North XL](https://gpuninja.com/chassis/fractal-design-north-xl) — Fractal Design, Full tower, 413 mm, 7-slot, Not recorded, No listings — Fits: 109 mm spare
- [Pop Air](https://gpuninja.com/chassis/fractal-design-pop-air) — Fractal Design, Mid tower, 405 mm, 7-slot, Not recorded, No listings — Fits: 101 mm spare
- [Torrent](https://gpuninja.com/chassis/fractal-design-torrent) — Fractal Design, Mid tower, 461 mm, 7-slot, Not recorded, No listings — Fits: 157 mm spare
- [D31 MESH](https://gpuninja.com/chassis/jonsbo-d31-mesh) — Jonsbo, Mini tower, 400 mm, 4-slot, Not recorded, No listings — Fits: 96 mm spare
- [A3-mATX](https://gpuninja.com/chassis/lian-li-a3-matx) — Lian Li, Small form factor, 415 mm, 4-slot, Not recorded, No listings — Fits: 111 mm spare
- [Lancool 216](https://gpuninja.com/chassis/lian-li-lancool-216) — Lian Li, Mid tower, 392 mm, 7-slot, Not recorded, No listings — Fits: 88 mm spare
- [Lancool III](https://gpuninja.com/chassis/lian-li-lancool-iii) — Lian Li, Mid tower, 435 mm, 8-slot, Not recorded, No listings — Fits: 131 mm spare
- [O11 Dynamic EVO](https://gpuninja.com/chassis/lian-li-o11-dynamic-evo) — Lian Li, Mid tower, 426 mm, 8-slot, Not recorded, Last recorded out of stock, Discontinued — Fits: 122 mm spare
- [O11 Dynamic EVO XL](https://gpuninja.com/chassis/lian-li-o11-dynamic-evo-xl) — Lian Li, Full tower, 460 mm, 8-slot, Not recorded, No listings — Fits: 156 mm spare
- [O11 Vision](https://gpuninja.com/chassis/lian-li-o11-vision) — Lian Li, Mid tower, 430 mm, 7-slot, Not recorded, No listings — Fits: 126 mm spare
- [H5 Flow (2024)](https://gpuninja.com/chassis/nzxt-h5-flow-2024) — NZXT, Mid tower, 410 mm, 7-slot, Not recorded, No listings — Fits: 106 mm spare
- [H6 Flow](https://gpuninja.com/chassis/nzxt-h6-flow) — NZXT, Mid tower, 365 mm, 7-slot, Not recorded, No listings — Fits: 61 mm spare
- [H7 Flow (2024)](https://gpuninja.com/chassis/nzxt-h7-flow-2024) — NZXT, Mid tower, 410 mm, 7-slot, Not recorded, No listings — Fits: 106 mm spare
- [H9 Flow (2025)](https://gpuninja.com/chassis/nzxt-h9-flow-2025) — NZXT, Mid tower, 459 mm, 7-slot, Not recorded, No listings — Fits: 155 mm spare
- [Eclipse G360A](https://gpuninja.com/chassis/phanteks-eclipse-g360a) — Phanteks, Mid tower, 400 mm, 7-slot, Not recorded, Last recorded out of stock, Discontinued — Fits: 96 mm spare
- [NV5](https://gpuninja.com/chassis/phanteks-nv5) — Phanteks, Mid tower, 440 mm, 7-slot, Not recorded, No listings — Fits: 136 mm spare
- [NV7](https://gpuninja.com/chassis/phanteks-nv7) — Phanteks, Full tower, 450 mm, 8-slot, Not recorded, No listings — Fits: 146 mm spare
- [Meshroom D](https://gpuninja.com/chassis/ssupd-meshroom-d) — SSUPD, Small form factor, 325 mm, 3-slot, Not recorded, No listings — Fits: 21 mm spare
- [Core P3 TG Pro](https://gpuninja.com/chassis/thermaltake-core-p3-tg-pro) — Thermaltake, Open frame, 450 mm, 8-slot, Not recorded, No listings — Fits: 146 mm spare

## AI models it can run

Model, Publisher, Parameters, Quantization, Min VRAM, VRAM headroom

- [Mixtral 8x7B Instruct v0.1 (Q4_K_M)](https://gpuninja.com/models/mixtral-8x7b-instruct-v0-1-q4-k-m) — Mistral AI, 46.7B, q4_k_m, 26.5 GB — 5.6 GB spare
- [DeepSeek-R1-Distill-Qwen-32B (Q4_K_M)](https://gpuninja.com/models/deepseek-r1-distill-qwen-32b-q4-k-m) — DeepSeek, 32.8B, q4_k_m, 19.9 GB — 12.1 GB spare
- [Qwen2.5 32B Instruct (Q4_K_M)](https://gpuninja.com/models/qwen2-5-32b-instruct-q4-k-m) — Alibaba, 32.8B, q4_k_m, 19.9 GB — 12.1 GB spare
- [Qwen2.5-Coder 32B Instruct (Q4_K_M)](https://gpuninja.com/models/qwen2-5-coder-32b-instruct-q4-k-m) — Alibaba, 32.8B, q4_k_m, 19.9 GB — 12.1 GB spare
- [Qwen3 32B (Q4_K_M)](https://gpuninja.com/models/qwen3-32b-q4-k-m) — Alibaba, 32.8B, q4_k_m, 19.8 GB — 12.2 GB spare
- [Qwen3 30B-A3B (Q4_K_M)](https://gpuninja.com/models/qwen3-30b-a3b-q4-k-m) — Alibaba, 30.5B, q4_k_m, 18.6 GB — 13.4 GB spare
- [Gemma 3 27B IT (Q4_K_M)](https://gpuninja.com/models/gemma-3-27b-it-q4-k-m) — Google, 27.4B, q4_k_m, 16.6 GB — 15.5 GB spare
- [Mistral Small 3.1 24B Instruct 2503 (Q4_K_M)](https://gpuninja.com/models/mistral-small-3-1-24b-instruct-2503-q4-k-m) — Mistral AI, 24B, q4_k_m, 14.3 GB — 17.7 GB spare
- [gpt-oss-20b (MXFP4)](https://gpuninja.com/models/gpt-oss-20b-mxfp4) — OpenAI, 20.9B, mxfp4, 12.1 GB — 19.9 GB spare
- [Phi-4 (Q4_K_M)](https://gpuninja.com/models/phi-4-q4-k-m) — Microsoft, 14.7B, q4_k_m, 9.1 GB — 22.9 GB spare
- [Qwen3 14B (Q4_K_M)](https://gpuninja.com/models/qwen3-14b-q4-k-m) — Alibaba, 14.8B, q4_k_m, 9 GB — 23 GB spare
- [DeepSeek-R1-Distill-Qwen-14B (Q4_K_M)](https://gpuninja.com/models/deepseek-r1-distill-qwen-14b-q4-k-m) — DeepSeek, 14.8B, q4_k_m, 9 GB — 23 GB spare
- [Qwen2.5 14B Instruct (Q4_K_M)](https://gpuninja.com/models/qwen2-5-14b-instruct-q4-k-m) — Alibaba, 14.8B, q4_k_m, 9 GB — 23 GB spare
- [Mistral Nemo Instruct 2407 (Q4_K_M)](https://gpuninja.com/models/mistral-nemo-instruct-2407-q4-k-m) — Mistral AI, 12.3B, q4_k_m, 7.5 GB — 24.5 GB spare
- [Gemma 3 12B IT (Q4_K_M)](https://gpuninja.com/models/gemma-3-12b-it-q4-k-m) — Google, 12.2B, q4_k_m, 7.3 GB — 24.7 GB spare
- [Qwen3 8B (Q4_K_M)](https://gpuninja.com/models/qwen3-8b-q4-k-m) — Alibaba, 8.2B, q4_k_m, 5 GB — 27 GB spare
- [DeepSeek-R1-Distill-Llama-8B (Q4_K_M)](https://gpuninja.com/models/deepseek-r1-distill-llama-8b-q4-k-m) — DeepSeek, 8B, q4_k_m, 4.9 GB — 27.1 GB spare
- [Llama 3.1 8B Instruct (Q4_K_M)](https://gpuninja.com/models/llama-3-1-8b-instruct-q4-k-m) — Meta, 8B, q4_k_m, 4.9 GB — 27.1 GB spare
- [DeepSeek-R1-Distill-Qwen-7B (Q4_K_M)](https://gpuninja.com/models/deepseek-r1-distill-qwen-7b-q4-k-m) — DeepSeek, 7.6B, q4_k_m, 4.7 GB — 27.3 GB spare
- [Qwen2.5 7B Instruct (Q4_K_M)](https://gpuninja.com/models/qwen2-5-7b-instruct-q4-k-m) — Alibaba, 7.6B, q4_k_m, 4.7 GB — 27.3 GB spare
- [Mistral 7B Instruct v0.3 (Q4_K_M)](https://gpuninja.com/models/mistral-7b-instruct-v0-3-q4-k-m) — Mistral AI, 7.3B, q4_k_m, 4.4 GB — 27.6 GB spare
- [Phi-4-mini-instruct (Q4_K_M)](https://gpuninja.com/models/phi-4-mini-instruct-q4-k-m) — Microsoft, 3.8B, q4_k_m, 2.5 GB — 29.5 GB spare
- [Qwen3 4B (Q4_K_M)](https://gpuninja.com/models/qwen3-4b-q4-k-m) — Alibaba, 4B, q4_k_m, 2.5 GB — 29.5 GB spare
- [Gemma 3 4B IT (Q4_K_M)](https://gpuninja.com/models/gemma-3-4b-it-q4-k-m) — Google, 4.3B, q4_k_m, 2.5 GB — 29.5 GB spare
- [Llama 3.2 3B Instruct (Q4_K_M)](https://gpuninja.com/models/llama-3-2-3b-instruct-q4-k-m) — Meta, 3.2B, q4_k_m, 2 GB — 30 GB spare
- [Llama 3.2 1B Instruct (Q4_K_M)](https://gpuninja.com/models/llama-3-2-1b-instruct-q4-k-m) — Meta, 1.2B, q4_k_m, 0.8 GB — 31.2 GB spare

## Benchmarks

No benchmark results recorded.

## Sources

- https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5090/ — Vendor, VRAM, Memory type, Boost clock, TDP, Length, Width, Slot width, Recommended PSU; last verified 11 Oct 2026, 16:04 UTC
- https://www.tomshardware.com/pc-components/gpus/nvidia-geforce-rtx-5090-review/2 — Cooling, Power connectors; last verified 11 Oct 2026, 16:04 UTC
- https://www.nvidia.com/en-us/geforce/graphics-cards/ — Status; last verified 11 Oct 2026, 16:04 UTC